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Paper Citation Record · LEDGER

AI-powered Contextual 3D Environment Generation: A Systematic Review

As of 19 August 2026, this Paper Citation Record lists 100 of 123 outbound references and 0 inbound Pith citation observations for arXiv:2506.05449.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.05449 v1

Coverage vector

measured 100 of 123 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:43.992088Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 123 outbound references displayed

  • verified exact15
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier18
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 45b1efc5-f414-4a68-8644-e483a250715e · outbound

This paper cites A survey on procedural modelling for virtual worlds.

AI-powered Contextual 3D Environment Generation: A Systematic Review A survey on procedural modelling for virtual worlds

Reference 1

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Observation d1dc12f8-665a-45c3-99c8-84a172bfeed7 · outbound

This paper cites Deep learning- based 3D reconstruction: a survey.

AI-powered Contextual 3D Environment Generation: A Systematic Review Deep learning- based 3D reconstruction: a survey

Reference 2

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Observation ea9acebb-36f1-4a05-8db5-58ef41e20d8e · outbound

This paper cites Procedural content generation via machine learning (PCGML).

AI-powered Contextual 3D Environment Generation: A Systematic Review Procedural content generation via machine learning (PCGML)

Reference 3

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Observation 81a2a7ae-c2f0-485d-a4ec-f0fe7b23a981 · outbound

This paper cites 3D-LLM: Injecting the 3D World into Large Language Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3D-LLM: Injecting the 3D World into Large Language Models

Reference 4

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source=pdf_text observed=2026-08-07T10:29:07.913635Z digest=sha256:ed50af3eec9d822eda0711712b1554b6f61d32e5fb4be9d8688d07a3ddd12953

Observation aa88b9f5-a601-43bd-98df-2918033f6ece · outbound

This paper cites Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models

Reference 5

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Observation 39be8cc0-e430-4709-8894-2b7bad1c3b7c · outbound

This paper cites RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion.

AI-powered Contextual 3D Environment Generation: A Systematic Review RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion

Reference 6

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Observation 09cb3e0e-1c2c-4abb-9260-ea8e6ba87747 · outbound

This paper cites The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

AI-powered Contextual 3D Environment Generation: A Systematic Review The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Reference 7

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Observation 3d152b19-e717-49a7-9301-978118265314 · outbound

This paper cites Edify 3D: Scalable High-Quality 3D Asset Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Edify 3D: Scalable High-Quality 3D Asset Generation

Reference 8

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source=pdf_text observed=2026-08-07T10:29:08.203676Z digest=sha256:0c27dfc39a1f4cafdd612f4e10c52f3fa0d83e93971b3196b2efe63026f93d9a

Observation dd39bbcf-ae98-4c7f-b5b4-3337419ff97f · outbound

This paper cites NeRF-IS: Explicit Neural Radi- ance Fields in Semantic Space.

AI-powered Contextual 3D Environment Generation: A Systematic Review NeRF-IS: Explicit Neural Radi- ance Fields in Semantic Space

Reference 10

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source=pdf_text observed=2026-08-07T10:29:08.346721Z digest=sha256:9dc2685b58de34fc24b29d0d6af4ce4fa7abc9f1e20ea7f0c37bb59b7f974194

Observation a1996653-12e7-4f5b-8244-079a2f44fa58 · outbound

This paper cites V AIDE: Virtual AI Designer for Web3D Exhibition Layout Creation.

AI-powered Contextual 3D Environment Generation: A Systematic Review V AIDE: Virtual AI Designer for Web3D Exhibition Layout Creation

Reference 11

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source=pdf_text observed=2026-08-07T10:29:08.423938Z digest=sha256:c4f82214c6d5fe34df426c37fa6e71573a3cfe2ea16554c1a38c8a8bc5a1b69f

Observation e2383a6c-a368-4e2a-a409-0d6436dd117d · outbound

This paper cites SPAGHETTI: editing implicit shapes through part aware generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review SPAGHETTI: editing implicit shapes through part aware generation

Reference 12

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source=pdf_text observed=2026-08-07T10:29:08.504905Z digest=sha256:80a9c5e41a45f641d8d6fb76cae2216f4a870257cb21c1c247d704426ea789b0

Observation 549e0873-4414-42c3-98a0-8f3d6a47b7ba · outbound

This paper cites Generative Terrain Authoring with Mid-air Hand Sketching in Virtual Reality.

AI-powered Contextual 3D Environment Generation: A Systematic Review Generative Terrain Authoring with Mid-air Hand Sketching in Virtual Reality

Reference 13

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source=pdf_text observed=2026-08-07T10:29:08.575758Z digest=sha256:0313348fdb234d62e17008a71a7daccf4cf6040fc86c3f8cd4e18e23a1a1174a

Observation 1cfb5eed-96e9-4cf6-b02a-dc9ecd0dd809 · outbound

This paper cites SP-GAN: sphere-guided 3D shape generation and manipulation.

AI-powered Contextual 3D Environment Generation: A Systematic Review SP-GAN: sphere-guided 3D shape generation and manipulation

Reference 14

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source=pdf_text observed=2026-08-07T10:29:08.661789Z digest=sha256:ffa8f0eb205d75fcc27b963b37a57f09e0aa8515b1f2a5c4775b0120a450cd00

Observation af7325ec-571f-4026-9b35-346d7e64d32d · outbound

This paper cites Creating and Experiencin 3D Im- mersion Using Generative 2D Diffusion: An Integrated Framework.

AI-powered Contextual 3D Environment Generation: A Systematic Review Creating and Experiencin 3D Im- mersion Using Generative 2D Diffusion: An Integrated Framework

Reference 16

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source=pdf_text observed=2026-08-07T10:29:08.831058Z digest=sha256:2ace99e60be83d2cb03ab6918d79f6094944a46d16da35e66898c5178234c67a

Observation 6f7cc042-a43b-44b5-8245-582c9f7c915c · outbound

This paper cites LLMR: Real-time Prompting of Interactive Worlds using Large Language Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review LLMR: Real-time Prompting of Interactive Worlds using Large Language Models

Reference 17

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source=pdf_text observed=2026-08-07T10:29:09.058381Z digest=sha256:aa2e3d79bc5cd83196b5dd43e3ad9b216ddcf071b057cc6e50e322c618cf6dbf

Observation 54a07cf4-0b60-4a76-bb16-290bc62e9623 · outbound

This paper cites NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Mod- els.

AI-powered Contextual 3D Environment Generation: A Systematic Review NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Mod- els

Reference 18

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source=pdf_text observed=2026-08-07T10:29:09.281993Z digest=sha256:b9a1aeff6d04c5ab5027841ed9653fe63eecb1d530928d1c7b80624ed4b56328

Observation 1d7d0bc8-afea-4031-a9b4-35e9c5549c8b · outbound

This paper cites SceneHGN: Hierarchical Graph Net- works for 3D Indoor Scene Generation With Fine- Grained Geometry.

AI-powered Contextual 3D Environment Generation: A Systematic Review SceneHGN: Hierarchical Graph Net- works for 3D Indoor Scene Generation With Fine- Grained Geometry

Reference 22

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source=pdf_text observed=2026-08-07T10:29:09.750551Z digest=sha256:c90f5717123c681d3dc33602ca6b70ff071afb406228709692c68a3fe19b521c

Observation bda1a2fd-4a9d-4d74-a44c-92c597ccfd3d · outbound

This paper cites iControl3D: An Interactive System for Controllable 3D Scene Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review iControl3D: An Interactive System for Controllable 3D Scene Generation

Reference 24

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source=pdf_text observed=2026-08-07T10:29:09.878745Z digest=sha256:914403bce90a81bf4b4c539fe927b33e3563d0559fd290b26f2c2211baa24afb

Observation 121bcb83-08fa-4f99-a379-a55b6aefcdbd · outbound

This paper cites MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback.

AI-powered Contextual 3D Environment Generation: A Systematic Review MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design Feedback

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:09.944163Z digest=sha256:9c125179c1ee9752d9c36d20a816257e80ba7bfcefc3dea9506959ceb02f4c7f

Observation 68abad83-ef73-4eca-81d3-a0510076f892 · outbound

This paper cites ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context.

AI-powered Contextual 3D Environment Generation: A Systematic Review ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context

Reference 26

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Observation f820ea7d-9d3b-453d-9575-b11e8dc39647 · outbound

This paper cites A Multi-Stage Advanced Deep Learning Graphics Pipeline.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Multi-Stage Advanced Deep Learning Graphics Pipeline

Reference 28

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Observation 73a5ec03-3325-4d38-8140-7782bee940b3 · outbound

This paper cites A Survey on Generative Adversarial Networks: Variants, Appli- cations, and Training.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Survey on Generative Adversarial Networks: Variants, Appli- cations, and Training

Reference 30

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:10.255232Z digest=sha256:87a2ba2b8a65314b21075498e85519fd3ae8513661c6a8d4ab97e702e4e4ee29

Observation 740bfc98-8aa9-48c4-a7cc-3d6522c8545c · outbound

This paper cites A Neural Space-Time Represen- tation for Text-to-Image Personalization.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Neural Space-Time Represen- tation for Text-to-Image Personalization

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 78db6bc9-0065-4c6c-a2c8-bb81476dc0f0 · outbound

This paper cites Artin- ter: AI-powered Boundary Objects for Commission- ing Visual Arts.

AI-powered Contextual 3D Environment Generation: A Systematic Review Artin- ter: AI-powered Boundary Objects for Commission- ing Visual Arts

Reference 34

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source=pdf_text observed=2026-08-07T10:29:10.586828Z digest=sha256:90809d62c4cb1eb6daaeb8251f744219b931e78d1c4da0e40c9b9786488438cb

Observation 680f8b81-b711-4d36-bdfa-76bc8e20cd2d · outbound

This paper cites Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis

Reference 35

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source=pdf_text observed=2026-08-07T10:29:10.652154Z digest=sha256:2fedcd37077907b70db50b4c3feb060722ab32e46bcfe72a80b446ffc0b2b91a

Observation f2e10cd7-1f0f-432d-8909-3c03b2a911c6 · outbound

This paper cites FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review FIND: Fine-tuning Initial Noise Distribution with Policy Optimization for Diffusion Models

Reference 36

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source=pdf_text observed=2026-08-07T10:29:10.742138Z digest=sha256:5402297bdfa33d35e5b2f017b627e90ad5ffd8de6c26592832c759c659576583

Observation eb5fb1f9-8ab0-4006-8a05-3b2a1db1ee4e · outbound

This paper cites ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Con- straints.

AI-powered Contextual 3D Environment Generation: A Systematic Review ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Con- straints

Reference 37

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:10.828750Z digest=sha256:493ae5fe7b17275af4249b05ac5f069cbc751c4e11bf6cc687539b9ac7895d07

Observation 8859a2a6-cd49-4994-b72c-2594e9df32d9 · outbound

This paper cites GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Gen- erators.

AI-powered Contextual 3D Environment Generation: A Systematic Review GeoLatent: A Geometric Approach to Latent Space Design for Deformable Shape Gen- erators

Reference 38

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source=pdf_text observed=2026-08-07T10:29:10.910883Z digest=sha256:54cfacfd3fb84ef8edd60d3954b04ef0859f59a55c58b63dd24c3990736d19a7

Observation 74cccdcf-238a-4c2e-bb75-9fc7a1c15d10 · outbound

This paper cites Sat2Scene: 3D Urban Scene Gen- eration from Satellite Images with Diffusion.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sat2Scene: 3D Urban Scene Gen- eration from Satellite Images with Diffusion

Reference 39

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source=pdf_text observed=2026-08-07T10:29:10.977219Z digest=sha256:18d9cad008d39c37e6556d467ce81b95ad028539420ee52d5d0257a392720896

Observation 02c9f01b-a7af-4283-a22a-9aec7fd366db · outbound

This paper cites Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks.

AI-powered Contextual 3D Environment Generation: A Systematic Review Synthesizing Indoor Scene Layouts in Complicated Architecture Using Dynamic Convolution Networks

Reference 40

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source=pdf_text observed=2026-08-07T10:29:11.049907Z digest=sha256:85f0121c868e91e212a637747d56ed701c7853a82203a0cd61f883b67e8f0e37

Observation 13cda361-1a14-4c17-b1bf-283b19683a4f · outbound

This paper cites DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi- Modal Diffusion-Renderings.

AI-powered Contextual 3D Environment Generation: A Systematic Review DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi- Modal Diffusion-Renderings

Reference 41

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source=pdf_text observed=2026-08-07T10:29:11.114215Z digest=sha256:ff5fd71f63a2298c715299266a8a7fd6e68e8313cbb91b3b03617f15f5badbab

Observation 6f3c217b-fee6-4f08-8b2e-c9e54f348ebb · outbound

This paper cites 3DP3: 3D Scene Perception via Probabilistic Programming.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3DP3: 3D Scene Perception via Probabilistic Programming

Reference 42

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source=pdf_text observed=2026-08-07T10:29:42.469348Z digest=sha256:eb4f753bfd1a22ae00ef46e7c985c6c28dab7039dd6da4247ec205aad03eabaf

Observation db8dbe5e-30c6-41e5-8d33-92333ec49a12 · outbound

This paper cites Sparse Query Dense: Enhanc- ing 3D Object Detection with Pseudo Points.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sparse Query Dense: Enhanc- ing 3D Object Detection with Pseudo Points

Reference 43

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source=pdf_text observed=2026-08-07T10:29:42.512750Z digest=sha256:6472d8661f7d68d890a109f734df93e2e5ffebc8cd52ea503e3ec98f0bd43d9f

Observation 14dbdb53-e885-45db-a344-353e1b88bcfa · outbound

This paper cites rlty2rlty: Transitioning Between Realities with Gen- erative AI.

AI-powered Contextual 3D Environment Generation: A Systematic Review rlty2rlty: Transitioning Between Realities with Gen- erative AI

Reference 46

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source=pdf_text observed=2026-08-07T10:29:42.738897Z digest=sha256:46210572972f615dc8a968480d5a648b8f7ad473bd685981e1c235bfd730a764

Observation 1b94db70-ab8e-42c6-8812-4fd481aac915 · outbound

This paper cites SinGRAF: Learning a 3D Gen- erative Radiance Field for a Single Scene.

AI-powered Contextual 3D Environment Generation: A Systematic Review SinGRAF: Learning a 3D Gen- erative Radiance Field for a Single Scene

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:42.846142Z digest=sha256:29ac1f318d4e280d1012d7b9be35dbeb6bbb9994a23e52e0be4d48bd85323526

Observation ddb8f1bb-a425-4599-b8f8-f1cec4cd9f3a · outbound

This paper cites RIP-NeRF: Learning Rotation- Invariant Point-based Neural Radiance Field for Fine- grained Editing and Compositing.

AI-powered Contextual 3D Environment Generation: A Systematic Review RIP-NeRF: Learning Rotation- Invariant Point-based Neural Radiance Field for Fine- grained Editing and Compositing

Reference 49

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no resolver link, observed 2026-08-07T10:29:42.916512Z

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source=pdf_text observed=2026-08-07T10:29:42.916512Z digest=sha256:b9432b065eb8fff4f0f532859876e7a95c43df00f18f7a089edbe51c0eb9bff2

Observation a7478d4a-bc67-45f7-a155-c6ed453d699d · outbound

This paper cites In- teractive Latent Variable Evolution for the Generation of Minecraft Structures.

AI-powered Contextual 3D Environment Generation: A Systematic Review In- teractive Latent Variable Evolution for the Generation of Minecraft Structures

Reference 50

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source=pdf_text observed=2026-08-07T10:29:42.990589Z digest=sha256:20180e2a6ff33d97d97d2114619b38d1ebca1f1b02eacaf16509b84677a49961

Observation 7d552ec0-cf32-462f-8098-ddcf94b78114 · outbound

This paper cites World-GAN: a Generative Model for Minecraft Worlds.

AI-powered Contextual 3D Environment Generation: A Systematic Review World-GAN: a Generative Model for Minecraft Worlds

Reference 51

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source=pdf_text observed=2026-08-07T10:29:43.059376Z digest=sha256:3e6d9dd398091f1224dc15825d75d089187d91cf06637951e298041513cc3011

Observation 786f7a51-a8f2-494b-a4d2-92b14dc725e2 · outbound

This paper cites CLIP-Mesh: Generat- ing textured meshes from text using pretrained image- text models.

AI-powered Contextual 3D Environment Generation: A Systematic Review CLIP-Mesh: Generat- ing textured meshes from text using pretrained image- text models

Reference 53

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source=pdf_text observed=2026-08-07T10:29:43.133049Z digest=sha256:56eb4bf8f6b6674b72335a74ffcc91f6f79a9a708ab1386e5e1eaf3ed1d5910d

Observation 70ac4a88-426a-4ee0-b6ae-9f76c5ec0258 · outbound

This paper cites VRCopilot: Authoring 3D Layouts with Generative AI Models in VR.

AI-powered Contextual 3D Environment Generation: A Systematic Review VRCopilot: Authoring 3D Layouts with Generative AI Models in VR

Reference 54

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source=pdf_text observed=2026-08-07T10:29:43.256820Z digest=sha256:0c4a877d4ca9c154e0fa5a1688304ef72ef7b347bfa382507dd1a59b1019cdc4

Observation 1681b52c-3082-4a37-8abe-33e6004c9211 · outbound

This paper cites WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI.

AI-powered Contextual 3D Environment Generation: A Systematic Review WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI

Reference 55

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source=pdf_text observed=2026-08-07T10:29:43.313382Z digest=sha256:1162dabb135c97d1617dd922c37abc40f2187a0663f21b6bd42476ab98a1351a

Observation 87c66b33-add0-4c76-8ca8-ed8c57257fb5 · outbound

This paper cites Generating and Integrating Dif- fusion Model-Based Panoramic Views for Virtual In- terview Platform.

AI-powered Contextual 3D Environment Generation: A Systematic Review Generating and Integrating Dif- fusion Model-Based Panoramic Views for Virtual In- terview Platform

Reference 56

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.397955Z digest=sha256:dc8267d32465e9977b62562490413895079deedb82b1919311926bfd02153f7c

Observation a4247c26-b94f-4653-b3ad-7c69700c33bb · outbound

This paper cites BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapola- tion.

AI-powered Contextual 3D Environment Generation: A Systematic Review BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapola- tion

Reference 58

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source=pdf_text observed=2026-08-07T10:29:43.421032Z digest=sha256:89b553b706b851a40ecb8b411019012ef50dc1ef4dc249a80eb2decbaa61267f

Observation 6c7f086d-0d57-4b36-944c-2a66e2bb5b25 · outbound

This paper cites L-MAGIC: Language Model As- sisted Generation of Images with Coherence.

AI-powered Contextual 3D Environment Generation: A Systematic Review L-MAGIC: Language Model As- sisted Generation of Images with Coherence

Reference 59

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.437207Z digest=sha256:60d877965db9cf7d245bb2c752e97fa87364fa7d65406ec729457abebddb80ff

Observation 4d7cc215-bcb9-469f-8a27-d1d1ddb8dd25 · outbound

This paper cites iNVS: Repurposing Diffusion In- painters for Novel View Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review iNVS: Repurposing Diffusion In- painters for Novel View Synthesis

Reference 60

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source=pdf_text observed=2026-08-07T10:29:43.452421Z digest=sha256:c831cf54cc1edc99aed32caa47483ae09d2fb8933aee057cf5f438b0bade9d0b

Observation c914225a-3526-42e1-9cc6-063ec8565793 · outbound

This paper cites WorldGen: A Large Scale Generative Simulator.

AI-powered Contextual 3D Environment Generation: A Systematic Review WorldGen: A Large Scale Generative Simulator

Reference 61

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source=pdf_text observed=2026-08-07T10:29:43.467084Z digest=sha256:146ca1fc368c4fd5fb6a33bbfc87ad6227c2afeced98f4dcab1528f3c5e2447c

Observation 80e94ce1-f1a9-4f05-b075-18811f34f12a · outbound

This paper cites ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives.

AI-powered Contextual 3D Environment Generation: A Systematic Review ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives

Reference 62

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.477441Z digest=sha256:b12155518e7d0a62bf70c70868b36814c7c37af2993e896a16a099756afd70c7

Observation 6a92cdea-a5d1-41de-80c2-b7a24bd74ce9 · outbound

This paper cites Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User- Centric Evaluation of Immersion and Realism.

AI-powered Contextual 3D Environment Generation: A Systematic Review Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User- Centric Evaluation of Immersion and Realism

Reference 63

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source=pdf_text observed=2026-08-07T10:29:43.486597Z digest=sha256:be6e27cddf758cd539ce1f8c45d372a5fb2910fa39bf7f36398902360bc29432

Observation 16453975-fe61-494a-9986-6c941369b8c8 · outbound

This paper cites LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer.

AI-powered Contextual 3D Environment Generation: A Systematic Review LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer

Reference 65

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source=pdf_text observed=2026-08-07T10:29:43.504072Z digest=sha256:0b135e07a87c1b6ca94558351527ff6ccf00f84acabedc019ed93308733c4bfc

Observation 478c7034-57de-40c8-ac20-2acd143c8b12 · outbound

This paper cites DreamUp3D: Object-Centric Genera- tive Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer.

AI-powered Contextual 3D Environment Generation: A Systematic Review DreamUp3D: Object-Centric Genera- tive Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer

Reference 66

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source=pdf_text observed=2026-08-07T10:29:43.515389Z digest=sha256:606196bf366077d25249d7453fbb6483d682f9fc921db1a15e358a09c93ba0b3

Observation 290be1b0-a510-47b9-bb96-01d1d2ae3a18 · outbound

This paper cites CLAY: A Controllable Large- scale Generative Model for Creating High-quality 3D Assets.

AI-powered Contextual 3D Environment Generation: A Systematic Review CLAY: A Controllable Large- scale Generative Model for Creating High-quality 3D Assets

Reference 67

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source=pdf_text observed=2026-08-07T10:29:43.527148Z digest=sha256:1840a2a1ba9adc6830506fe8b22f49986af0380d7f3dc367fccb73dfeba4fb7b

Observation 1770a69b-a09f-41cf-91fe-be151ef236d8 · outbound

This paper cites MultiCAD: Contrastive Represen- tation Learning for Multi-modal 3D Computer-Aided Design Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review MultiCAD: Contrastive Represen- tation Learning for Multi-modal 3D Computer-Aided Design Models

Reference 68

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source=pdf_text observed=2026-08-07T10:29:43.535734Z digest=sha256:fda238fdc73308c0f41de54c627e8666e8a808c0dcb909e88dc8020d786d319f

Observation d0842b1c-8c00-4116-a87b-0ce74bb6ed0d · outbound

This paper cites 360° Reconstruction From a Single Image Using Space Carved Outpainting.

AI-powered Contextual 3D Environment Generation: A Systematic Review 360° Reconstruction From a Single Image Using Space Carved Outpainting

Reference 70

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source=pdf_text observed=2026-08-07T10:29:43.560477Z digest=sha256:7331f37a1c371876b241da7122ec2990ecfd0210e34b00b0f175747f071eb09e

Observation cb373103-e95e-4777-9b84-9ad3a97eddf3 · outbound

This paper cites Cross-modal 3D Shape Gener- ation and Manipulation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Cross-modal 3D Shape Gener- ation and Manipulation

Reference 71

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source=pdf_text observed=2026-08-07T10:29:43.570880Z digest=sha256:523dd0fa6108fb4d7b1de03aef6137b1076f096a501560462f60b9f064051754

Observation acf5f2bd-b050-4957-a69e-ad2dcdcbf757 · outbound

This paper cites ChartPointFlow for Topology-Aware 3D Point Cloud Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review ChartPointFlow for Topology-Aware 3D Point Cloud Generation

Reference 72

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no resolver link, observed 2026-08-07T10:29:43.580751Z

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source=pdf_text observed=2026-08-07T10:29:43.580751Z digest=sha256:ef3d0d8bf6f90e7a8e749aa99b143188383f59207231c27cead16cbd05c21b7b

Observation 9ea0fa19-3c50-47e2-b763-bbd9f43f57f2 · outbound

This paper cites Elevating Perception: Unified Recognition Framework and Vision-Language Pre- Training Using Three-Dimensional Image Reconstruc- tion.

AI-powered Contextual 3D Environment Generation: A Systematic Review Elevating Perception: Unified Recognition Framework and Vision-Language Pre- Training Using Three-Dimensional Image Reconstruc- tion

Reference 74

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source=pdf_text observed=2026-08-07T10:29:43.602257Z digest=sha256:a1f9392fee028821d0dc495a9221ff96da84a0f5c6ad0fe9e04eab4f2cda4bb8

Observation 0bfbe79a-4985-48a4-ae94-df923241f637 · outbound

This paper cites Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models

Reference 75

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source=pdf_text observed=2026-08-07T10:29:43.611623Z digest=sha256:d6db3f0721d00b217ede22cb805c514f278a7aedd431e8d91089072e8de6d9b9

Observation c191d884-a6d5-4341-b21c-b76bae27497d · outbound

This paper cites EASI-Tex: Edge-Aware Mesh Texturing from Single Image.

AI-powered Contextual 3D Environment Generation: A Systematic Review EASI-Tex: Edge-Aware Mesh Texturing from Single Image

Reference 76

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.621763Z digest=sha256:0db10470a68b508e250776f4205a7f5b99567d44b227f7c6c482af6b3a8c496d

Observation 336fe3c0-29e8-4fcb-a127-2c02f241e289 · outbound

This paper cites F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting.

AI-powered Contextual 3D Environment Generation: A Systematic Review F-3DGS: Factorized Coordinates and Representations for 3D Gaussian Splatting

Reference 77

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source=pdf_text observed=2026-08-07T10:29:43.634131Z digest=sha256:504992ad7bff2bfac68239f32792a7d16740ecbf0b91d2acdbd3d1b7f715b104

Observation 800757f9-3f95-4422-9a51-35b2f246bc5b · outbound

This paper cites 3DShape2VecSet: A 3D Shape Rep- resentation for Neural Fields and Generative Diffusion Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review 3DShape2VecSet: A 3D Shape Rep- resentation for Neural Fields and Generative Diffusion Models

Reference 78

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source=pdf_text observed=2026-08-07T10:29:43.646976Z digest=sha256:7aa12d538a41db017e4eb092256e3fc50f2709815b40c74ca483187c2a33a4c3

Observation 5dfbae4d-e6e6-4b82-9b1f-1cf3f65693b3 · outbound

This paper cites HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image.

AI-powered Contextual 3D Environment Generation: A Systematic Review HyperDreamer: Hyper-Realistic 3D Content Generation and Editing from a Single Image

Reference 79

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source=pdf_text observed=2026-08-07T10:29:43.656099Z digest=sha256:1b6f1618550f2a09d52a4cb1dcbdd73a3c6b5e3feee12cf5b3a2046f035ab695

Observation 84126f76-fe78-4b0a-b3f2-46c3b3803496 · outbound

This paper cites An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction.

AI-powered Contextual 3D Environment Generation: A Systematic Review An End-to-End Conditional Generative Adversarial Network Based on Depth Map for 3D Craniofacial Reconstruction

Reference 80

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source=pdf_text observed=2026-08-07T10:29:43.665778Z digest=sha256:ce63bca4b4eae2aaba37a08f36f3c5d192e92bf0256cfe8bbfdcc2329d72a0ab

Observation 2893f613-324e-4c72-8d3d-68cb44679ef0 · outbound

This paper cites Object-centric Learning with Capsule Networks: A Survey.

AI-powered Contextual 3D Environment Generation: A Systematic Review Object-centric Learning with Capsule Networks: A Survey

Reference 81

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verified exact
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:29:43.678151Z digest=sha256:35bdb48183f38901af91c7742db629f542bb1e3f3f618c0e259194a1a7f24822

Observation b88f2a24-19d3-412b-b0d1-83a5d1b41d4e · outbound

This paper cites Learning to Gen- erate 3D Shapes from a Single Example.

AI-powered Contextual 3D Environment Generation: A Systematic Review Learning to Gen- erate 3D Shapes from a Single Example

Reference 82

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source=pdf_text observed=2026-08-07T10:29:43.691586Z digest=sha256:62bcc08691a1a05ffc0d1859e7a87c6c08b110b2c1db1c51bf14fc54ce160085

Observation e77d4f67-53db-4897-afd5-caad8340285d · outbound

This paper cites Text-Free Controllable 3-D Point Cloud Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text-Free Controllable 3-D Point Cloud Generation

Reference 83

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.700867Z digest=sha256:281c9261f102ea0dc1ed764e07cd5fabedba9bbdb6c54e2807f1dabea62921bf

Observation 71d483b7-6a85-46dc-aee0-6a48e14242bd · outbound

This paper cites A Study on V oxel Shape Generation and Reconstruction with VQ-V AE- 2.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Study on V oxel Shape Generation and Reconstruction with VQ-V AE- 2

Reference 84

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.712357Z digest=sha256:eefa2b6da9e48b98945f97ff052797a8712033fc785b8c1360f74fa19fff90cb

Observation b1eedd0c-b4af-4007-9555-39803a53ff77 · outbound

This paper cites Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowl- edge Distillation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowl- edge Distillation

Reference 85

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source=pdf_text observed=2026-08-07T10:29:43.725171Z digest=sha256:b85f54ea9376d2f710816b4dd9b1eb898ea80a88fea3dbd64079fc27d345588d

Observation db81ada3-9e58-4887-84b0-b4db1f7f59b0 · outbound

This paper cites Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations

Reference 90

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source=pdf_text observed=2026-08-07T10:29:43.776166Z digest=sha256:4527423eec6352586853156f7ef51cdd5d9aab4fbace17f00a7af2fbc9d554ac

Observation 54cb3510-df53-41fe-ae1e-d0c3196b07ac · outbound

This paper cites RelScene: A Benchmark and base- line for Spatial Relations in text-driven 3D Scene Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review RelScene: A Benchmark and base- line for Spatial Relations in text-driven 3D Scene Generation

Reference 91

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source=pdf_text observed=2026-08-07T10:29:43.785182Z digest=sha256:214313a14ff5ff72c76ef95fe98950b8c4e21b909ee1fe9a82934f6ac9bc4124

Observation ef93d9ee-0595-4bac-a01b-ca985c2199ec · outbound

This paper cites CAD Translator: An Effective Drive for Text to 3D Parametric Computer-Aided Design Generative Modeling.

AI-powered Contextual 3D Environment Generation: A Systematic Review CAD Translator: An Effective Drive for Text to 3D Parametric Computer-Aided Design Generative Modeling

Reference 92

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source=pdf_text observed=2026-08-07T10:29:43.794221Z digest=sha256:3e4b38ad56bc6f54c313125951bf4edd9e11eb9e95bbb95790807df1d40e6338

Observation 482e22ac-82a7-460a-aad6-b72d4a628555 · outbound

This paper cites ImageBind3D: Image as Binding Step for Controllable 3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review ImageBind3D: Image as Binding Step for Controllable 3D Generation

Reference 93

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source=pdf_text observed=2026-08-07T10:29:43.802716Z digest=sha256:86cb9228f10e21a2d6bea0a00a7545e3cd5e081d4c7eac6aec9b8ffd6aee8222

Observation 12bfaba7-eac9-42b8-8b34-d3ed130ef188 · outbound

This paper cites DreamLCM: Towards High Quality Text-to-3D Generation via Latent Consistency Model.

AI-powered Contextual 3D Environment Generation: A Systematic Review DreamLCM: Towards High Quality Text-to-3D Generation via Latent Consistency Model

Reference 94

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no resolver link, observed 2026-08-07T10:29:43.821107Z

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source=pdf_text observed=2026-08-07T10:29:43.821107Z digest=sha256:6fe6f4ae0ba99cdf9b5d405f3bc5843bb6b676cde93b4bc670a77915cba00001

Observation 9e9c75ae-e6d4-4ec6-b244-53af6d61a229 · outbound

This paper cites Dream Mesh: A Speech-to-3D Model Generative Pipeline in Mixed Reality.

AI-powered Contextual 3D Environment Generation: A Systematic Review Dream Mesh: A Speech-to-3D Model Generative Pipeline in Mixed Reality

Reference 95

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source=pdf_text observed=2026-08-07T10:29:43.826519Z digest=sha256:c46ffd35c621c5d408feb65e9f8dd3bbaf55f83d6e97118ce80730ccb114c690

Observation cc4ae632-c20b-4038-a558-2efcb008b305 · outbound

This paper cites PlacidDreamer: Advancing Har- mony in Text-to-3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review PlacidDreamer: Advancing Har- mony in Text-to-3D Generation

Reference 96

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source=pdf_text observed=2026-08-07T10:29:43.843820Z digest=sha256:90897809fc2d0dfa218a969d1350ae1e430934dc3f9db68a67d73e7e9523ecc2

Observation 7a9e00be-e4ab-4b6d-a1c6-2b5c0c606d15 · outbound

This paper cites Text2VRScene: Exploring the Framework of Automated Text-driven Generation Sys- tem for VR Experience.

AI-powered Contextual 3D Environment Generation: A Systematic Review Text2VRScene: Exploring the Framework of Automated Text-driven Generation Sys- tem for VR Experience

Reference 97

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no resolver link, observed 2026-08-07T10:29:43.852572Z

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source=pdf_text observed=2026-08-07T10:29:43.852572Z digest=sha256:a7f0aaf5dc443d0f2aeef2a34307943ca8561f82b9e7420d2688d5c477ea033b

Observation 769f4295-9bda-4857-a8bd-7471879cc17f · outbound

This paper cites Prompt Engineering for X3D Object Creation with LLMs.

AI-powered Contextual 3D Environment Generation: A Systematic Review Prompt Engineering for X3D Object Creation with LLMs

Reference 98

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source=pdf_text observed=2026-08-07T10:29:43.861458Z digest=sha256:6942dea9b524a10542d78cfd060451a4d946f6fe7f7cf3af668eb907675ef0d2

Observation 99b8ff4d-268d-4b90-b187-4090a64828b3 · outbound

This paper cites Sketch3D: Style- Consistent Guidance for Sketch-to-3D Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review Sketch3D: Style- Consistent Guidance for Sketch-to-3D Generation

Reference 99

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source=pdf_text observed=2026-08-07T10:29:43.874159Z digest=sha256:a8b6ff626ac0c44fe7cd65805fb816266d44c7a7dcac5728814b79533fead204

Observation 3834e16c-05ea-4b51-912b-235087725b58 · outbound

This paper cites SpaceBlender: Creating Context- Rich Collaborative Spaces Through Generative 3D Scene Blending.

AI-powered Contextual 3D Environment Generation: A Systematic Review SpaceBlender: Creating Context- Rich Collaborative Spaces Through Generative 3D Scene Blending

Reference 100

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source=pdf_text observed=2026-08-07T10:29:43.879250Z digest=sha256:9af03d3c27fcb9608cfc9cd11f5436d6696d69abfc19282057632659e4ce1d5d

Observation 98501fd6-f463-4206-9747-dbba734756f8 · outbound

This paper cites Knowl- edge Generation Pipeline using LLM for Building 3D Object Knowledge Base.

AI-powered Contextual 3D Environment Generation: A Systematic Review Knowl- edge Generation Pipeline using LLM for Building 3D Object Knowledge Base

Reference 101

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verified exact
raw_fallback, observed 2026-08-07T10:29:46.195192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.884471Z digest=sha256:4a9d5557c80811b169d5bd9b8694f803234745cf8bf38dd4c2ddf6d228f9c9be

Observation 465dcd1e-c640-4726-ab18-8426162c76fe · outbound

This paper cites ControlStyle: Text-Driven Styl- ized Image Generation Using Diffusion Priors.

AI-powered Contextual 3D Environment Generation: A Systematic Review ControlStyle: Text-Driven Styl- ized Image Generation Using Diffusion Priors

Reference 102

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:29:43.889539Z digest=sha256:5c95d4c37bf2dad290e0b9c8a474c7a8eab1b9085846ba2e15e5e819bda9ee65

Observation 573ddb7c-7b6a-4fde-9047-a066bdc5515a · outbound

This paper cites ControlMat: A Controlled Generative Approach to Material Capture.

AI-powered Contextual 3D Environment Generation: A Systematic Review ControlMat: A Controlled Generative Approach to Material Capture

Reference 103

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.894461Z digest=sha256:dfa52a36ef9e66beb08d456940d303a43ef14066930eaafe887f815e3ba0e3e0

Observation db40e904-c449-49e3-8792-904325a84dc0 · outbound

This paper cites Diffusion Texture Painting.

AI-powered Contextual 3D Environment Generation: A Systematic Review Diffusion Texture Painting

Reference 104

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source=pdf_text observed=2026-08-07T10:29:43.899681Z digest=sha256:c35f3f3e192096eabbf80ab6af346bf32449557b8f84e7ddb6d81cd436c1a4ca

Observation 63ac7ecf-9b17-48d4-b8a5-552872f09d42 · outbound

This paper cites MatFormer: a generative model for procedural materials.

AI-powered Contextual 3D Environment Generation: A Systematic Review MatFormer: a generative model for procedural materials

Reference 105

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source=pdf_text observed=2026-08-07T10:29:43.904681Z digest=sha256:e7e8192d5cafb73343f6b6b03a8619292a199d9b411ac1fcced7b3c6a244ef14

Observation d068e563-c066-4678-9fed-fbb6bdfec7cf · outbound

This paper cites MaPa: Text-driven Photoreal- istic Material Painting for 3D Shapes.

AI-powered Contextual 3D Environment Generation: A Systematic Review MaPa: Text-driven Photoreal- istic Material Painting for 3D Shapes

Reference 106

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source=pdf_text observed=2026-08-07T10:29:43.909150Z digest=sha256:7387d3c6db2f09ff04d76581f8caa5bfb94895b3e1efacbd49b55de85298e194

Observation e66b17fd-a5e6-4637-9b50-3aaa8966f311 · outbound

This paper cites PhotoMat: A Material Generator Learned from Single Flash Photos.

AI-powered Contextual 3D Environment Generation: A Systematic Review PhotoMat: A Material Generator Learned from Single Flash Photos

Reference 107

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source=pdf_text observed=2026-08-07T10:29:43.913553Z digest=sha256:403fb0c7f50f39618d3c5a183442d6ca77d5599446049e653f81fae574079407

Observation 796ebccb-8f4a-44c4-8df8-173163417271 · outbound

This paper cites Large Language and Text-to-3D Models for Engineer- ing Design Optimization.

AI-powered Contextual 3D Environment Generation: A Systematic Review Large Language and Text-to-3D Models for Engineer- ing Design Optimization

Reference 108

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source=pdf_text observed=2026-08-07T10:29:43.918065Z digest=sha256:326231b0a6b2ff5dbbb595a64308e5b1ff4bca50b6ab71e56088e77fc43a2891

Observation cd9b2d49-5724-4f23-9309-6e32aff584ad · outbound

This paper cites FloorGAN: Generative Net- work for Automated Floor Layout Generation.

AI-powered Contextual 3D Environment Generation: A Systematic Review FloorGAN: Generative Net- work for Automated Floor Layout Generation

Reference 109

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source=pdf_text observed=2026-08-07T10:29:43.922550Z digest=sha256:3114581e879f6c820c91b8defb77a9062da58bf503201bfdc580371e39e8bd4b

Observation 610de5ab-8a0f-4e6d-8c93-91db75190406 · outbound

This paper cites Automated video editing based on learned styles using LSTM-GAN.

AI-powered Contextual 3D Environment Generation: A Systematic Review Automated video editing based on learned styles using LSTM-GAN

Reference 110

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raw_fallback, observed 2026-08-07T10:29:45.738912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.927746Z digest=sha256:5b62e3105142c07f71563e3ea97b224e0c0beea02f5322152650c5cfea79a87d

Observation 00f74d59-d106-4b49-abd1-a44dc4639d2b · outbound

This paper cites TexPainter: Generative Mesh Texturing with Multi-view Consistency.

AI-powered Contextual 3D Environment Generation: A Systematic Review TexPainter: Generative Mesh Texturing with Multi-view Consistency

Reference 111

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source=pdf_text observed=2026-08-07T10:29:43.933295Z digest=sha256:f2e005bd31ebba27951166cc717356864e6d83107e0bc9194b8aba3204268929

Observation 013fe6fc-9676-4e17-a11e-f3da29301da7 · outbound

This paper cites ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars.

AI-powered Contextual 3D Environment Generation: A Systematic Review ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

Reference 112

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source=pdf_text observed=2026-08-07T10:29:43.938916Z digest=sha256:cfe3291a74df768fee5b652a167b893209c2fbfe9b6476440955331dc03bc834

Observation 4ff35044-537c-40a3-b0e9-5cd3c5ab7683 · outbound

This paper cites VDAM: V AE based domain adap- tation for cloud property retrieval from multi-satellite data.

AI-powered Contextual 3D Environment Generation: A Systematic Review VDAM: V AE based domain adap- tation for cloud property retrieval from multi-satellite data

Reference 113

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malformed identifier
raw_fallback, observed 2026-08-07T10:29:45.631626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.944317Z digest=sha256:2a482134fd557244feb27dd992489ef9aaf56080e43bad1708ffc484f45df9cd

Observation b946eb8b-3637-4b1e-8786-ce65c89eba2d · outbound

This paper cites Cascade Variational Auto-Encoder for Hierarchical Disentanglement.

AI-powered Contextual 3D Environment Generation: A Systematic Review Cascade Variational Auto-Encoder for Hierarchical Disentanglement

Reference 114

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no resolver link, observed 2026-08-07T10:29:43.949622Z

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source=pdf_text observed=2026-08-07T10:29:43.949622Z digest=sha256:b502fb5ec4a6061c125b53d98fb141679c4b5ac95b82f9d9bf1b89a379543386

Observation 53f8e540-35ad-4acd-9dd2-106eab4d4eca · outbound

This paper cites Automated Testing of Graphics Units by Deep-Learning Detection of Vi- sual Anomalies.

AI-powered Contextual 3D Environment Generation: A Systematic Review Automated Testing of Graphics Units by Deep-Learning Detection of Vi- sual Anomalies

Reference 115

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source=pdf_text observed=2026-08-07T10:29:43.954828Z digest=sha256:a00aee776680d39e71df88514f6359c87afc24a7317db1fd0cf64972338e8363

Observation af395e08-654b-4d61-8e66-e38c54440ba9 · outbound

This paper cites RealFill: Reference-Driven Gen- eration for Authentic Image Completion.

AI-powered Contextual 3D Environment Generation: A Systematic Review RealFill: Reference-Driven Gen- eration for Authentic Image Completion

Reference 116

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.959432Z digest=sha256:b3a8e33d63771c9884b35fadc22cff82535a043ab89db10c9d97d2920310f0c2

Observation b8a401df-4ebc-443c-9cd8-930b99b801f4 · outbound

This paper cites A Survey on Deep Generative 3D-aware Image Synthesis.

AI-powered Contextual 3D Environment Generation: A Systematic Review A Survey on Deep Generative 3D-aware Image Synthesis

Reference 117

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.964577Z digest=sha256:905a4e78035579be4b1330361bf3aa77e81e63ada1b8e48fc3a5548347a899a0

Observation c674e73c-b5fb-49d3-941a-c6739e8912c1 · outbound

This paper cites Image Generation Model Applying PCA on Latent Space.

AI-powered Contextual 3D Environment Generation: A Systematic Review Image Generation Model Applying PCA on Latent Space

Reference 118

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.970571Z digest=sha256:6c68379d61ef1b593bcf57b892995c629e1e3226d8a0e1724a25bb2e4f8eddeb

Observation 30c31e86-ffa1-47a0-9134-b760c46f1632 · outbound

This paper cites Broomrocket: Open Source Text-to-3D Algorithm for 3D Object Placement.

AI-powered Contextual 3D Environment Generation: A Systematic Review Broomrocket: Open Source Text-to-3D Algorithm for 3D Object Placement

Reference 119

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:29:43.976024Z digest=sha256:511b7420b2895dde843703d3d6a29124ab39c72c950314b35aeb88ec6f537e86

Observation db2fea98-57c4-4dad-9bfd-520a1d26d148 · outbound

This paper cites Image based and Point Cloud based Methods for 3D View Reconstruction in Real- time Environment.

AI-powered Contextual 3D Environment Generation: A Systematic Review Image based and Point Cloud based Methods for 3D View Reconstruction in Real- time Environment

Reference 120

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source=pdf_text observed=2026-08-07T10:29:43.981667Z digest=sha256:62c7ad88a3bf41c4705f298170fea759e078dd257b5535d597fb43874567c625

Observation 675a851a-5572-4488-96ee-168c4bea31d6 · outbound

This paper cites GenQuery: Supporting Expressive Visual Search with Generative Models.

AI-powered Contextual 3D Environment Generation: A Systematic Review GenQuery: Supporting Expressive Visual Search with Generative Models

Reference 121

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:43.987275Z digest=sha256:1106d62a24528d31a7567811894553f2cfa91025d8478dc6fd5843cc85af11cb

Observation c17a7cff-b284-4a42-9afa-f26a9c338a14 · outbound

This paper cites Prompt- Paint: Steering Text-to-Image Generation Through Paint Medium-like Interactions.

AI-powered Contextual 3D Environment Generation: A Systematic Review Prompt- Paint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

Reference 122

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source=pdf_text observed=2026-08-07T10:29:43.992088Z digest=sha256:e7dde112537874b3bfb8010f7ee57a62f45623d251c12d2c9b25bfb78c20498b

Pith citing papers

No inbound Pith citation observations are available.