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Paper Citation Record · LEDGER

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting

As of 14 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.15528.

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

pith.paper-citation-record.v1
2505.15528 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:20:13.501997Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

62 of 62 outbound references displayed

  • verified exact6
  • verified fuzzy35
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55b9d679-9141-4c23-b366-979aa3728dcf · outbound

This paper cites A realistic syn- thetic mushroom scenes dataset.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A realistic syn- thetic mushroom scenes dataset

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 13d49f83-273c-4ad3-8a64-591c760b829a · outbound

This paper cites Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions

Reference 2

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local_arxiv, observed 2026-08-07T15:20:14.507408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f17a5a5f-df1e-43bb-9116-85d7fd924774 · outbound

This paper cites The added value of 3d point clouds for digital plant phenotyping–a case study on internode length measurements in cucumber.biosystems engineering, 234:1–12, 2023.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting The added value of 3d point clouds for digital plant phenotyping–a case study on internode length measurements in cucumber.biosystems engineering, 234:1–12, 2023

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b3b0728e-920c-46d9-b17f-6b6957fa497a · outbound

This paper cites TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

Reference 4

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verified exact
local_arxiv, observed 2026-08-07T15:20:14.388014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a8ee876b-14e5-4058-a352-2cd53a845359 · outbound

This paper cites an unresolved cited work.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-08-07T15:20:21.811398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f10c2897-c052-454e-a7b9-b67ae5b018c9 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-07T15:20:21.603572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:08.022808Z digest=sha256:f1fe3dc06bd40b8fb39505fad80581025084ee978df8c53d73e726fe81f43e71

Observation 76cc2fef-de7c-4d62-a34c-bfb3aa1bc2e6 · outbound

This paper cites Control3D: Towards Controllable Text-to-3D Generation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Control3D: Towards Controllable Text-to-3D Generation

Reference 7

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local_arxiv, observed 2026-08-07T15:20:14.276111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:08.161340Z digest=sha256:f27da4215ac1c86521a2d9d7e9b6b8fd8a09fdc7ea2344363ef9ce3dff057cdf

Observation 3ff3ad99-628e-4d87-9871-fb4c60399dfe · outbound

This paper cites Text-to-3d using gaussian splatting.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Text-to-3d using gaussian splatting

Reference 8

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raw_fallback, observed 2026-08-07T15:20:21.383299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 22bbb149-cc50-4915-9eaf-a4fc8b2c9189 · outbound

This paper cites Michels, Soren Pirk, Chia- Chun Fu, and Wojciech Palubicki.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Michels, Soren Pirk, Chia- Chun Fu, and Wojciech Palubicki

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3cb4260d-9f59-49c7-b087-1dac844a8d92 · outbound

This paper cites Blender Foundation, Stichting Blender Foundation, Amsterdam, 2018.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Blender Foundation, Stichting Blender Foundation, Amsterdam, 2018

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation df8d6dc0-e5ad-4ae7-bc7c-dd22faf2df03 · outbound

This paper cites Rose-x: an annotated data set for evaluation of 3d plant organ segmentation methods.Plant methods, 16: 1–14, 2020.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Rose-x: an annotated data set for evaluation of 3d plant organ segmentation methods.Plant methods, 16: 1–14, 2020

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6fdbb052-bbcb-463d-9c9e-5d74dbc76b6b · outbound

This paper cites an unresolved cited work.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 39963ce9-254d-4a96-bc0d-d5ec3733008f · outbound

This paper cites Easydcp: An afford- able, high-throughput tool to measure plant phenotypic traits in 3d.Methods in Ecology and Evolution, 12(9):1679–1686,.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Easydcp: An afford- able, high-throughput tool to measure plant phenotypic traits in 3d.Methods in Ecology and Evolution, 12(9):1679–1686,

Reference 13

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raw_fallback, observed 2026-08-07T15:20:20.456428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5098a56a-9e54-47af-b0fd-416b6460a39a · outbound

This paper cites Lidar platform for acquisition of 3d plant phenotyping database.Plants, 11(17):2199, 2022.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Lidar platform for acquisition of 3d plant phenotyping database.Plants, 11(17):2199, 2022

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:08.929330Z digest=sha256:f7069cd42f93ef8b9d44265aaa1bc76776e632d1bb8ced981cdb388cd45ccb9c

Observation 17563657-e21d-46a0-8ee6-05901b66fdfa · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 15

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Source-reported events for the cited work

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Observation f66e280d-71c1-47cd-9d6c-b8412f65f992 · outbound

This paper cites HeadSculpt: Crafting 3D Head Avatars with Text.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting HeadSculpt: Crafting 3D Head Avatars with Text

Reference 16

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local_arxiv, observed 2026-08-07T15:20:14.168222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fc61288b-7a50-4165-82d8-6456c56e63a0 · outbound

This paper cites Domain targeted synthetic plant style transfer using stable diffusion lora and controlnet.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Domain targeted synthetic plant style transfer using stable diffusion lora and controlnet

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 2885ee5d-c671-432c-9458-d54d50b1b4c6 · outbound

This paper cites T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting T$^3$Bench: Benchmarking Current Progress in Text-to-3D Generation

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13ab4802-cc56-465e-9c42-381cf7e60b85 · outbound

This paper cites SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture

Reference 19

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verified exact
local_arxiv, observed 2026-08-07T15:20:13.994591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b9c52aec-e0c7-4318-b014-a927a3e68426 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5110e29-6a6f-4d18-b0a2-c0d1ef764249 · outbound

This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 15583dba-8c32-42f2-bb57-690c9fcc3226 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:09.926831Z digest=sha256:7d9101bf9f7be83930ccfd4d43a692326b035861dc5acadded9e2bcb420979a6

Observation 9631595b-fc63-4808-b222-e4893ff1b9fd · outbound

This paper cites High-fidelity 3d reconstruction of plants using neural radiance fields.Computers and Electronics in Agri- culture, 220:108848, 2024.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-fidelity 3d reconstruction of plants using neural radiance fields.Computers and Electronics in Agri- culture, 220:108848, 2024

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d40464b6-5a80-4063-885b-bee7f6485c19 · outbound

This paper cites Structure from motion photogrammetry in forestry: A review.Current Forestry Reports, 5:155–168, 2019.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Structure from motion photogrammetry in forestry: A review.Current Forestry Reports, 5:155–168, 2019

Reference 24

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raw_fallback, observed 2026-08-07T15:20:19.496952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e84717cf-3228-43a9-befe-d1f00267b400 · outbound

This paper cites Avatar- craft: Transforming text into neural human avatars with pa- rameterized shape and pose control.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Avatar- craft: Transforming text into neural human avatars with pa- rameterized shape and pose control

Reference 25

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no resolver link, observed 2026-08-07T15:20:10.224240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:10.224240Z digest=sha256:23f5386ea4702d7f337e62d07a0c97b739f329b38d6fb85e29cafaf04ba763b7

Observation 73b11e00-2a61-47ed-9685-fe321b140d8e · outbound

This paper cites Plant geometry reconstruction from field data using neural radiance fields.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Plant geometry reconstruction from field data using neural radiance fields

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:19.267313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.298367Z digest=sha256:411afd2f93fb8eb26f8a279c6d68a6e777ab925b3a30e1a8c7ab65455d09c932

Observation 588d3310-5437-4c83-a2c7-a31dfc3e8a68 · outbound

This paper cites Shap-E: Generating Conditional 3D Implicit Functions.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Shap-E: Generating Conditional 3D Implicit Functions

Reference 27

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no resolver link, observed 2026-08-07T15:20:10.392762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:10.392762Z digest=sha256:58dffa4a374bbf865bfc04260bff34f25afb28ce12d857a0548261ec00194fae

Observation 3f2f3b2d-4f6b-4f98-a20f-f95d7d74d221 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (ToG), 42(4):1–14, 2023.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics (ToG), 42(4):1–14, 2023

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-07T15:20:19.055117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.518920Z digest=sha256:c5d9f7ba6bdf36c3157800fd8c7a759ee478bcb5e74a256af23352cd27efa8b9

Observation 30fd4966-ac7c-4f3b-82ca-d910b1b95ebf · outbound

This paper cites Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture.Frontiers in Plant Science, 15:1360113, 2024.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Synthetic data at scale: a development model to efficiently leverage machine learning in agriculture.Frontiers in Plant Science, 15:1360113, 2024

Reference 29

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raw_fallback, observed 2026-08-07T15:20:18.863185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.596868Z digest=sha256:c7f350e56e79bcf9f2a4fa98c69c51744e4b1e3a0deaf5a19af9e87812b6ca10

Observation e91dfe50-ac1a-4be9-9e5d-086bf5401445 · outbound

This paper cites Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

Reference 30

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no resolver link, observed 2026-08-07T15:20:10.677123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35dd16c5-3809-4081-aa8d-45c0b3c708d5 · outbound

This paper cites MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting MVControl: Adding Conditional Control to Multi-view Diffusion for Controllable Text-to-3D Generation

Reference 31

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no resolver link, observed 2026-08-07T15:20:10.767560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:10.767560Z digest=sha256:4cf5a911a31a7759691602321a3cd1b5efd4f4a60f8854e5f481a0a115810703

Observation 4e50fa33-c9a1-46d5-bb7d-39a95287d86f · outbound

This paper cites Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Luciddreamer: Towards high- fidelity text-to-3d generation via interval score matching

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:18.724119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.833932Z digest=sha256:127dec5a3361ebea6dbf0ad734bb388ea338ea00a853bb0eaae78eaf9f619618

Observation db7e84bb-c0de-490a-a4ae-72dfc63b4580 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Magic3d: High-resolution text-to-3d content creation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:18.504947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.923501Z digest=sha256:4a9deeff2045aeefb21664d0190577ae8e1b722b715cac7ea22d7bd3b592673a

Observation fa9f6b16-2500-48c8-87f1-2cdf2677c0a3 · outbound

This paper cites an unresolved cited work.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:20:18.215175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:10.999080Z digest=sha256:4deb70ba72da6254b1e6886200e2c99042c010ba131ea9f8f724f777947a3c87

Observation a19563d1-a12d-49b2-8669-aa3ffd40e90e · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:17.966885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.081745Z digest=sha256:8ee9117a8af01ae910fad3c59300d21da2eb3919ff8f27cd5a0727a24ec6fa2c

Observation 3c01105f-2a2d-434c-bece-e4ee61941a47 · outbound

This paper cites Deep learning in image-based plant phe- notyping.Annual Review of Plant Biology, 75, 2024.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Deep learning in image-based plant phe- notyping.Annual Review of Plant Biology, 75, 2024

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:17.691497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.169095Z digest=sha256:0f0cb4621af1bdf925fef067fee482aee5a289ab7e3f7eeb4a2eab926bf2ee6d

Observation af9f06b8-90de-401b-b621-8d00ff7fb689 · outbound

This paper cites Splanting: 3d plant capture with gaussian splatting.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Splanting: 3d plant capture with gaussian splatting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:17.447540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.241068Z digest=sha256:a92e48d8b859f61bd86e01e48af22e3ef638574a9210a9c86eea13c44ddbf6bb

Observation 5c3c5c0c-b1c4-4b8e-bc09-b0b9ac84d9d6 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting DreamFusion: Text-to-3D using 2D Diffusion

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:11.344437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:11.344437Z digest=sha256:ba6f9c055a4bcfff5e1b95b5c0dfd5e5ca43ba402afe1b4921f89a61777037b5

Observation bdbbd27c-8352-47be-9695-ea641f7471d9 · outbound

This paper cites Graphical applications of l- systems.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Graphical applications of l- systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:17.201250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.444554Z digest=sha256:99cbfac0b14cd805c12102bb07161251fb7b348d79139347ce87308a0e33ef51

Observation 42011523-08ab-4be3-b43b-50c489f6941b · outbound

This paper cites Texture: Text-guided texturing of 3d shapes.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Texture: Text-guided texturing of 3d shapes

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:11.545627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:11.545627Z digest=sha256:8daec3030ae1cf40d2f04d7818f28067a1bd1378480d6dd3c117a5bb4468b386

Observation d34f8d8b-43b6-40b4-abe3-7cfa9cfb2873 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:11.626682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:11.626682Z digest=sha256:9d9c082bf0c23f1f0d701797f3bdbefbb73d9e39628d43f7573d5dc578ace8a4

Observation d8338360-dcc1-4cff-9fd7-3b672a5600a2 · outbound

This paper cites Academic press, 1980.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Academic press, 1980

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:16.928368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.710050Z digest=sha256:f982dd1bcb6493412c6fa47a24e9f2bfdd7de32b1282d413a387811c8b0b1ec2

Observation f5a3f093-dd71-485c-bd77-ff4180db06f4 · outbound

This paper cites Peanutnerf: 3d radiance field for peanuts.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Peanutnerf: 3d radiance field for peanuts

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:16.705907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:11.803226Z digest=sha256:afa61aa177bc490c225fc75f5d0eaeffc3a0e30f4f133c5d8be037a7fb17b1a2

Observation cfb1f2c6-e71e-4cd3-aefa-8d1f9b8ef094 · outbound

This paper cites Structure-from-motion revisited.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Structure-from-motion revisited

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:11.930847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:11.930847Z digest=sha256:c2d4b4060c2bdb9c16bf7b42b32b7b03ebfd9c526118a1517a0f2dff50f022a4

Observation 5853c97e-876b-4b0a-8507-e9038501c8f5 · outbound

This paper cites Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and ad- vanced plant analysis.PLOS ONE, 16(8):1–18, 2021.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and ad- vanced plant analysis.PLOS ONE, 16(8):1–18, 2021

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:16.460356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.028176Z digest=sha256:e3df6d4a428e1ec69380f7ed28f753b0624f645f7064713b28b4c1a3afd4bb26

Observation 63f9743b-372d-4e01-b9b7-7c957e518213 · outbound

This paper cites A comparison and evalua- tion of multi-view stereo reconstruction algorithms.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A comparison and evalua- tion of multi-view stereo reconstruction algorithms

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:16.213152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.094729Z digest=sha256:2e8d22178b9664f119c2c45c61622b06caa0885451a76d7b840a09d43abe293f

Observation b5c4b33f-916e-4597-a190-805ea7183f0d · outbound

This paper cites Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:12.164558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:12.164558Z digest=sha256:eb11c5be4961f897b9e5ee8a9b0a38d570e419bd3a3ba867af935a0f782cfcab

Observation 8c97e93a-df18-447e-b959-3772f9234fbf · outbound

This paper cites 3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3DGS-to-PC: Convert a 3D Gaussian Splatting Scene into a Dense Point Cloud or Mesh

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:20:13.706119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.233112Z digest=sha256:c1b5e4fe6132f54116edc033dd4feefc01c4ac1acc6c93537cbd369676960701

Observation e0ce05d0-cf57-4cb2-a468-080a1b1b8c5b · outbound

This paper cites High-fidelity wheat plant reconstruction using 3d gaussian splatting and neural radiance fields.GigaScience, In Press,.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting High-fidelity wheat plant reconstruction using 3d gaussian splatting and neural radiance fields.GigaScience, In Press,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.985204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.320805Z digest=sha256:5e2cef76452d7ced7754e6513a59782d52749b6dcffa6705d7b1345010b08e3a

Observation c585ae40-1efa-47d7-b402-5cea97a60bc1 · outbound

This paper cites Soybean-mvs: Annotated three-dimensional model dataset of whole growth period soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Soybean-mvs: Annotated three-dimensional model dataset of whole growth period soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.744973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.427822Z digest=sha256:b8b24362231ef92500032b2df49de5597638ac5759023d8024e737d14af0d969

Observation c7902b22-c60d-401e-81e7-5d07b42b6406 · outbound

This paper cites 3dphenomvs: A low-cost 3d tomato pheno- typing pipeline using 3d reconstruction point cloud based on multiview images.Agronomy, 12(8):1865, 2022.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting 3dphenomvs: A low-cost 3d tomato pheno- typing pipeline using 3d reconstruction point cloud based on multiview images.Agronomy, 12(8):1865, 2022

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.596580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.525270Z digest=sha256:d1931248ce5d9e49f3f169a38412c0e8dc209c210cd215d8260291aae4e07e6f

Observation 8827291b-01d0-42ea-a26b-fa230beb00a1 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441, 2023.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.399521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.607050Z digest=sha256:d4eddb2b697fd2861dab9242384703bc0e244c07976838c6915cfaf4e0039bc5

Observation f3d6e7db-9507-4912-910f-036ae95fa82e · outbound

This paper cites A synthetic datasets based instance segmentation network for high-throughput soybean pods phenotype investigation.Ex- pert systems with applications, 192:116403, 2022.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting A synthetic datasets based instance segmentation network for high-throughput soybean pods phenotype investigation.Ex- pert systems with applications, 192:116403, 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.296567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.695223Z digest=sha256:c4a4e5d81379e34d4e1f6c877fcecfded4900610170e4d9f24ba2e8cd3a4ef51

Observation 014c6383-72ed-42d2-bb58-1be53bb7421d · outbound

This paper cites Crop phenomics and high-throughput phe- notyping: past decades, current challenges, and future per- spectives.Molecular plant, 13(2):187–214, 2020.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Crop phenomics and high-throughput phe- notyping: past decades, current challenges, and future per- spectives.Molecular plant, 13(2):187–214, 2020

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.146087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:12.782140Z digest=sha256:2cd1a9d6808f8ff26b9201d3b560976e67e047cd3fb466427ffc9d637c9636eb

Observation f2c6faa5-0610-4d1d-afea-47caa92ab913 · outbound

This paper cites GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:12.869934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:12.869934Z digest=sha256:27d8acdb699a581cde07ab99aee2485cf44f4895557dce03962b041c166139e9

Observation 5ec0aeca-69a8-4c82-adf0-93317db58f44 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Adding conditional control to text-to-image diffusion models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:12.947167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:12.947167Z digest=sha256:9133cbec37666c13d61bf2fc5fc5b3527d52987d6b4f1667e44ed4a639c37c4b

Observation 501b6d48-5ede-42c1-b700-a3402ab588e9 · outbound

This paper cites Open3D: A Modern Library for 3D Data Processing.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Open3D: A Modern Library for 3D Data Processing

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:13.042975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:13.042975Z digest=sha256:61e90c04787641485164b6acf022cf29c6debbbedd47de98b3d3e2e4c04a960c

Observation 09ccae72-7c46-4ec2-9683-9d401f9e87a5 · outbound

This paper cites HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:20:13.135528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:20:13.135528Z digest=sha256:8e07ec6126d46dccbe4ba8004afa7009f2b499e3e89aac0708114d3dc9f7d90f

Observation 107707b2-ba19-41be-8961-bb4708d7f0c0 · outbound

This paper cites Crops3d: a diverse 3d crop dataset for realis- tic perception and segmentation toward agricultural applica- tions.Scientific Data, 11(1):1438, 2024.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Crops3d: a diverse 3d crop dataset for realis- tic perception and segmentation toward agricultural applica- tions.Scientific Data, 11(1):1438, 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:15.022086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:13.239163Z digest=sha256:ac4536b881ad506ce8f0d23ff30b6b6b2f999e46eac913753b88629b816febd0

Observation 81fbd598-d58a-41fe-b6bf-bfab7e83394e · outbound

This paper cites Machine learning ap- proaches to improve three basic plant phenotyping tasks us- ing three-dimensional point clouds.Plant physiology, 181 (4):1425–1440, 2019.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Machine learning ap- proaches to improve three basic plant phenotyping tasks us- ing three-dimensional point clouds.Plant physiology, 181 (4):1425–1440, 2019

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:14.862251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:13.352371Z digest=sha256:ad7204bf4832840e2ee10ff2d5a762b6a034128d76c5f2248dab70bf085d027d

Observation 2f90a404-2d2a-4100-a00e-cca0b3ff897f · outbound

This paper cites an unresolved cited work.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:20:14.719284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:13.445575Z digest=sha256:7d96a032f25035c9d5a1a6e31c50c66b9f97b532240d50c256c374912c0fb66f

Observation b585b5de-dc65-476e-9a00-a74d8e2f8d54 · outbound

This paper cites Figure 8.

PlantDreamer: Achieving Realistic 3D Plant Models with Diffusion-Guided Gaussian Splatting Figure 8

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:20:14.603548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T15:20:13.501997Z digest=sha256:fea7746fe6bda60f5a67142cf9284b2c2742d43e85e9b062364ac769b7287cfc

Pith citing papers

No inbound Pith citation observations are available.