Jointly Generating Multi-view Consistent PBR Textures using Collaborative Control
On the map: Diffusion models → 3D, point cloud and scene generation
Abstract (arXiv)
Multi-view consistency remains a challenge for image diffusion models. Even within the Text-to-Texture problem, where perfect geometric correspondences are known a priori, many methods fail to yield aligned predictions across views, necessitating non-trivial fusion methods to incorporate the results onto the original mesh. We explore this issue for a Collaborative Control workflow specifically in PBR Text-to-Texture. Collaborative Control directly models PBR image probability distributions, including normal bump maps; to our knowledge, the only diffusion model to directly output full PBR stacks. We discuss the design decisions involved in making this model multi-view consistent, and demonstrate the effectiveness of our approach in ablation studies, as well as practical applications.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 69 of its 78 references that are in the map. First posted on arXiv 9 Oct 2024.
Builds on
69 of 78 references.
Closest ancestors · 25
Same direction, newest first
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- 2023EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion11 Dec
- 2023MVDD: Multi-View Depth Diffusion Models8 Dec
- 2023Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion27 Nov
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- 2023EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth27 Nov
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- 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models20 Oct
- 2023Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models4 Oct
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- 2023MatFuse: Controllable Material Generation with Diffusion Models22 Aug
- 2023MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR18 Aug
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation24 Mar
- 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Models20 Mar
- 2023TEXTure: Text-Guided Texturing of 3D Shapes3 Feb
- 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
Other references · 44
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- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
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- 2023Consistent Mesh Diffusioncited by 3
Built on by
Citing papers per year: 2025: 4.
4 papers.
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