TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction | Paper Citation Record

Observation 4ffe7623-b520-4cf4-8929-d4030db1f0c0 · outbound

This paper cites GPT-4 Technical Report.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction GPT-4 Technical Report

Reference 1

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Observation d5a2add6-051e-4891-b12b-ba1b1328f62c · outbound

This paper cites Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Rhythmic gesticulator: Rhythm-aware co-speech gesture synthesis with hierarchical neural embeddings

Reference 2

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Observation e61e16b6-f84e-4a92-bd47-e39fcaf5bd8f · outbound

This paper cites Qwen Technical Report.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Qwen Technical Report

Reference 3

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Observation f4015b94-623c-49c4-b9da-0c0b4e587983 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 4

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Observation 22069480-0f84-40d5-b282-1ed98c83383e · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Efficient geometry-aware 3d generative adversarial networks

Reference 5

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Observation a035cdba-5486-4883-bd43-456269afa850 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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Observation a9e03d95-a738-4809-a6ed-e281ba3e91c3 · outbound

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

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 7

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Observation 26392509-8c6f-436f-8d2c-7f0612c94ff6 · outbound

This paper cites MeshXL: Neural Coordinate Field for Generative 3D Foundation Models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Reference 8

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Observation 0bee933d-bf2e-44c6-80ef-20ada6e4effe · outbound

This paper cites Learn- ing to predict 3d objects with an interpolation-based differ- entiable renderer.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Learn- ing to predict 3d objects with an interpolation-based differ- entiable renderer

Reference 9

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Observation 0cfc7571-b1c8-4ecd-82e6-08093209713e · outbound

This paper cites Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views

Reference 10

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Observation f1375ebb-e578-4d7f-a443-06d210dff67b · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 11

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Observation 08f87b0d-61a4-4975-9540-9f5f46a46a11 · outbound

This paper cites Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Reference 12

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Observation 79ae8486-a1a1-4bec-91a2-75a512a7ffca · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 13

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Observation ba63cd0d-1493-46e2-bf0c-b260324c2765 · outbound

This paper cites 3dtopia-xl: Scaling high- quality 3d asset generation via primitive diffusion.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction 3dtopia-xl: Scaling high- quality 3d asset generation via primitive diffusion

Reference 14

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Observation a6c0b153-fd91-4221-824c-e9f154ad0b61 · outbound

This paper cites Sdfusion: Multimodal 3d shape completion, reconstruction, and generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Sdfusion: Multimodal 3d shape completion, reconstruction, and generation

Reference 15

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Observation ce51f672-242d-47a9-9813-2af211165a96 · outbound

This paper cites Scaling instruction- finetuned language models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Scaling instruction- finetuned language models

Reference 16

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Observation 4c49c4c4-7a88-4809-8ea5-30204b016ac8 · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Objaverse: A universe of annotated 3d objects

Reference 17

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Observation 0ff5aab2-c999-4e5e-acde-e8549943f5fc · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Objaverse-xl: A universe of 10m+ 3d objects

Reference 18

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Observation 62642b50-b292-46b0-ac93-4a897ef6a214 · outbound

This paper cites Jukebox: A Generative Model for Music.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Jukebox: A Generative Model for Music

Reference 19

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Observation df549580-6deb-4167-8895-83b9d4463951 · outbound

This paper cites The challenge of realistic music generation: mod- elling raw audio at scale.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction The challenge of realistic music generation: mod- elling raw audio at scale

Reference 20

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Observation 6f73c283-311d-48af-b217-b06c451bab18 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 21

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Observation a46e24be-069d-4250-8e6a-094d8e145fe1 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Taming transformers for high-resolution image synthesis

Reference 22

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Observation 4fa91ac2-8990-410d-8f04-f7eb17540d76 · outbound

This paper cites 3d-future: 3d fur- niture shape with texture.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction 3d-future: 3d fur- niture shape with texture

Reference 23

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Observation 7e604eba-6e09-4797-adfb-8cf68b24ac82 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 24

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Observation 87732b67-c0c5-4ee9-9e5f-b5f8c2b371ca · outbound

This paper cites Openlrm: Open-source large reconstruction models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Openlrm: Open-source large reconstruction models

Reference 25

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Observation 174cd190-a217-464c-8957-d4df5db81467 · outbound

This paper cites Classifier-Free Diffusion Guidance.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Classifier-Free Diffusion Guidance

Reference 26

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Observation d5db8695-86b6-4120-91ce-943ede4a1f8b · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction LRM: Large Reconstruction Model for Single Image to 3D

Reference 27

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Observation 322603c7-d9ec-412b-b199-b98f057d7b55 · outbound

This paper cites Animate anyone: Consistent and controllable image- to-video synthesis for character animation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Animate anyone: Consistent and controllable image- to-video synthesis for character animation

Reference 28

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Observation 91c5c8b8-277d-4f8e-b0cc-053ebe1898a3 · outbound

This paper cites Perceiver: General perception with iterative attention.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Perceiver: General perception with iterative attention

Reference 29

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Observation 2b458640-bef2-4816-b894-681c05d909c8 · outbound

This paper cites Jm3d & jm3d-llm: Elevating 3d rep- resentation with joint multi-modal cues.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Jm3d & jm3d-llm: Elevating 3d rep- resentation with joint multi-modal cues

Reference 30

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Observation c108d34b-35c8-4df6-9ee2-c6dd04f89e7c · outbound

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

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Shap-E: Generating Conditional 3D Implicit Functions

Reference 31

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Observation cc18a152-47bc-4230-9105-1e470db1fe6c · outbound

This paper cites Auto-Encoding Variational Bayes.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Auto-Encoding Variational Bayes

Reference 32

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Observation 15a5d837-8e4d-4e74-b5d0-8a3956f2a722 · outbound

This paper cites Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Ln3diff: Scalable latent neural fields diffusion for speedy 3d generation

Reference 33

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Observation df87d26e-7730-4f21-b5f5-0b72c9a90d5a · outbound

This paper cites Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model

Reference 34

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Observation 3dfd0fae-c9d0-4135-94ff-a6def138aac2 · outbound

This paper cites Diffusion- sdf: Text-to-shape via voxelized diffusion.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Diffusion- sdf: Text-to-shape via voxelized diffusion

Reference 35

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Observation 47a9f46e-d21e-4578-9490-d22be2ed4ba6 · outbound

This paper cites Promptkd: Unsupervised prompt distillation for vision-language models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Promptkd: Unsupervised prompt distillation for vision-language models

Reference 36

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Observation 9c339d29-c8c8-4c2e-80d9-5ac3e070a079 · outbound

This paper cites Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priors

Reference 37

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Observation 14ad30fd-bd4f-4c19-b213-d7d76dd7fa84 · outbound

This paper cites One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimiza- tion

Reference 38

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Observation 3a40479d-4eab-4f20-b0d7-83706b045bb6 · outbound

This paper cites MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Reference 39

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Observation 508685c2-5928-4d70-947b-a9fb7c917339 · outbound

This paper cites Zero-1-to- 3: Zero-shot one image to 3d object.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Zero-1-to- 3: Zero-shot one image to 3d object

Reference 40

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Observation 1e9b0073-c59d-4c19-a021-ae72569bff25 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 41

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Observation 4787ba09-0bff-48a0-9d40-0145edf7a602 · outbound

This paper cites Text-guided texturing by synchronized multi-view diffusion.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Text-guided texturing by synchronized multi-view diffusion

Reference 42

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Observation 3e423324-2fb7-4716-ae80-5535feb187bb · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 43

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Observation 8bb2f269-ffa8-42ab-b426-7040add85b89 · outbound

This paper cites Decoupled weight decay regularization.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Decoupled weight decay regularization

Reference 44

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Observation c3e27231-4885-4b28-ad7c-6d97a3cf3362 · outbound

This paper cites Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training

Reference 45

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Observation c9bb72f7-09a3-449c-9467-8c4abd0eb323 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 46

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Observation 05916b15-7428-48a4-b5cb-930f3353e88d · outbound

This paper cites Autosdf: Shape priors for 3d comple- tion, reconstruction and generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Autosdf: Shape priors for 3d comple- tion, reconstruction and generation

Reference 47

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Observation ff74e05c-65d3-49c9-8d53-5c738aff6c5f · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 48

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Observation 85ddca82-1ce5-4850-8214-e5c6485cfe35 · outbound

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

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction DreamFusion: Text-to-3D using 2D Diffusion

Reference 49

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Observation c5d91a4e-656d-4e23-9215-debeacbdd4b5 · outbound

This paper cites Improving language understanding by gener- ative pre-training, 2018.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Improving language understanding by gener- ative pre-training, 2018

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.649703Z

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Observation 50d48635-2826-45a7-bb63-30eae4b16c2d · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Learn- ing transferable visual models from natural language super- vision

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.636125Z

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Observation ac3ea9dd-7cb7-4a84-baf1-a0406f17ea05 · outbound

This paper cites Zero-shot text-to-image generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Zero-shot text-to-image generation

Reference 52

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Observation 623fe45d-eb6f-49b2-a503-df54928e6903 · outbound

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

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction High-resolution image synthesis with latent diffusion models

Reference 53

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Observation a0f29005-d85b-49ac-86bf-9c447349daa5 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Photorealistic text-to-image diffusion models with deep language understanding

Reference 54

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Observation c6698349-64fe-4ed8-9eaf-263b01f52352 · outbound

This paper cites Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.735128Z

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Unavailable: canonical work link unavailable.

Observation ac1d2357-1042-4c3f-a0f7-a2a63911d0af · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.598135Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e8eb4ca-46c2-48d6-aa02-c981a1002497 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Roformer: Enhanced transformer with rotary position embedding

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.743361Z

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Unavailable: canonical work link unavailable.

Observation 5f822e28-9645-48c9-9b51-3e88872d460d · outbound

This paper cites Recent advances in im- plicit representation-based 3d shape generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Recent advances in im- plicit representation-based 3d shape generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.573386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3f987861-6fb1-45d0-b9e8-723c7108f66f · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.752076Z

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Unavailable: canonical work link unavailable.

Observation f3d3aee3-f2ce-4b70-9ef4-494eea456de1 · outbound

This paper cites Auto-3d-house design from structured user requirements.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Auto-3d-house design from structured user requirements

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.561405Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b40bf221-cdc1-44bc-8471-6bb0403fdc4a · outbound

This paper cites Fourier features let networks learn high frequency functions in low dimen- sional domains.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Fourier features let networks learn high frequency functions in low dimen- sional domains

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.548763Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ddb42c0-166e-4ed0-99cd-0983a62caee3 · outbound

This paper cites LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.763597Z

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Unavailable: canonical work link unavailable.

Observation 642bb9e7-e86f-458d-9384-ce41ce9ceeee · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction LLaMA: Open and Efficient Foundation Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.767437Z

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Unavailable: canonical work link unavailable.

Observation 3c5e4154-2a2d-48f1-b82a-da448caa9059 · outbound

This paper cites Neural discrete representation learning.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Neural discrete representation learning

Reference 64

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Observation aa194692-dd75-4c9f-beda-4fa2ddad2d67 · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.774767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a142012-43e6-45fa-8a68-141f3644f1ed · outbound

This paper cites NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction NICE: Improving Panoptic Narrative Detection and Segmentation with Cascading Collaborative Learning

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-08-11T06:01:59.997212Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd1598f1-6b7d-4f88-8faf-be563af57484 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.782790Z

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Unavailable: canonical work link unavailable.

Observation 5e8eceab-ba5a-42c2-962c-191d3e38fbcd · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Rodin: A generative model for sculpting 3d digital avatars using diffusion

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.521062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fdd3cc9-b272-4d51-9ec7-0e601d52a5b0 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Emu3: Next-Token Prediction is All You Need

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.790941Z

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Unavailable: canonical work link unavailable.

Observation 9b2b4726-5b4c-413b-ba89-5634731d2929 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Image quality assessment: from error visibility to structural similarity

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.795060Z

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Unavailable: canonical work link unavailable.

Observation 1ce92b41-f347-4de9-860e-7f8c41cc07e0 · outbound

This paper cites Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.799209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9462f9-6344-46d7-a475-f9c6da59ab95 · outbound

This paper cites Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.802827Z

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Unavailable: canonical work link unavailable.

Observation 0dc045b4-99e4-4d62-8c87-828acdcc471f · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.806640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1f9157e-e214-4c26-8d61-52ec18e8bb8c · outbound

This paper cites A survey of deep learning-based 3d shape generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction A survey of deep learning-based 3d shape generation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.494722Z

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Observation 64e66da4-e6b7-4837-a740-ca3824002516 · outbound

This paper cites Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Ulip: Learning a unified representation of language, images, and point clouds for 3d understanding

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.482901Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d400e8e4-4fa3-416e-b189-dd9dbd162a85 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.818823Z

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Unavailable: canonical work link unavailable.

Observation 72ea0626-223a-41df-b988-ed13fc4d1daf · outbound

This paper cites 3dilg: Ir- regular latent grids for 3d generative modeling.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction 3dilg: Ir- regular latent grids for 3d generative modeling

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.822613Z

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Unavailable: canonical work link unavailable.

Observation d773175b-3e79-4498-ae23-6b3e8e529b43 · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.464856Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e257f84-e193-4086-b97e-6886c6bc58c8 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.830348Z

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Unavailable: canonical work link unavailable.

Observation af8c1ea5-689f-4bb9-acf5-935ba5ad2aa2 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.453841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 088d7398-0798-498b-87bc-038b94e9066f · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction The unreasonable effectiveness of deep features as a perceptual metric

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.837718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a111681-0cea-4ea2-80b9-b4d77349b6c0 · outbound

This paper cites Fast- pci: Motion-structure guided fast point cloud frame interpo- lation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Fast- pci: Motion-structure guided fast point cloud frame interpo- lation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.433933Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b7409d3-eeac-4366-8af9-7178ae3713f2 · outbound

This paper cites Rstnet: Captioning with adaptive attention on visual and non-visual words.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Rstnet: Captioning with adaptive attention on visual and non-visual words

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.421739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99674dd0-837f-4831-b6ee-56bfafd0b5c6 · outbound

This paper cites Temo: Towards text-driven 3d stylization for multi-object meshes.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Temo: Towards text-driven 3d stylization for multi-object meshes

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.408373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 26dc9626-db4b-4e55-9e0d-7321d757f550 · outbound

This paper cites AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.853296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86de798a-9bcd-42ee-bbf8-6ce9bc0d0279 · outbound

This paper cites Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Michelangelo: Conditional 3d shape generation based on shape-image-text aligned latent representation

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.394606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d5bfbbf5-670a-40c3-9d9f-e752bcab3987 · outbound

This paper cites GS-ROR$^2$: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction GS-ROR$^2$: Bidirectional-guided 3DGS and SDF for Reflective Object Relighting and Reconstruction

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T06:01:59.861150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d0f4304-1be0-4305-880a-5d56adcb3ed9 · outbound

This paper cites Gaussian splatting with discretized sdf for relightable assets.

TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction Gaussian splatting with discretized sdf for relightable assets

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T06:02:00.381768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Outbound references

Pith citing papers