CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3721238.3730722
Recently, 3D generation methods have shown their powerful ability to automate 3D model creation. However, most 3D generation methods only rely on an input image or a text prompt to generate a 3D model, which lacks the control of each component of the generated 3D model. Any modifications of the input image lead to an entire regeneration of the 3D models. In this paper, we introduce a new method called CMD that generates a 3D model from an input image while enabling flexible local editing of each component of the 3D model. In CMD, we formulate the 3D generation as a conditional multiview diffusion model, which takes the existing or known parts as conditions and generates the edited or added components. This conditional multiview diffusion model not only allows the generation of 3D models part by part but also enables local editing of 3D models according to the local revision of the input image without changing other 3D parts. Extensive experiments are conducted to demonstrate that CMD decomposes a complex 3D generation task into multiple components, improving the generation quality. Meanwhile, CMD enables efficient and flexible local editing of a 3D model by just editing one rendered image.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3721238.3730722
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4412587779Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3721238.3730722Digital Object Identifier
- Title
-
CMD: Controllable Multiview Diffusion for 3D Editing and Progressive GenerationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
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2025-07-23Full publication date if available
- Authors
-
Peng Li, S. Ma, Jialiang Chen, Yuan Liu, Congyi Zhang, Wei Xue, Wenhan Luo, Alla Sheffer, Wenping Wang, Yike GuoList of authors in order
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-
https://doi.org/10.1145/3721238.3730722Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1145/3721238.3730722Direct OA link when available
- Concepts
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Computer science, Diffusion, Computer graphics (images), Artificial intelligence, Computer vision, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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37Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers |
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| publication_date | 2025-07-23 |
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