GALA: Generating Animatable Layered Assets from a Single Scan
Taeksoo Kim, Byungjun Kim, Shunsuke Saito, Hanbyul Joo
2024年份
12顶会引用
摘要
Reposing Layered Decomposition and Canonicalization Novel Human Avatars via Composition Figure 1. GALA. Given a single-layer 3D mesh of a clothed human (left), our approach enables Generation of Animatable Layered Assets for 3D garment transfer and avatar customization in any poses by decomposing and inpainting the geometry and texture of each layer with a pretrained 2D diffusion model in a canonical space.
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引用它的顶会 Paper12
- LayGA: Layered Gaussian Avatars for Animatable Clothing TransferSiyou Lin, Zhe Li, Zhaoqi Su, Zerong Zheng 等SIGGRAPH 2024 · 被引用 27 次
- CineVision: An Interactive Pre-visualization Storyboard System for Director-Cinematographer CollaborationZheng Wei, Hongtao Wu, Lvmin Zhang, Xian Xu 等UIST 2025 · 被引用 8 次
- Target-Aware Video Diffusion ModelsTaeksoo Kim, Hanbyul JooICLR 2026 · 被引用 7 次
- Durian: Dual Reference Image-Guided Portrait Animation with Attribute TransferHyunsoo Cha, Byungjun Kim, Hanbyul JooICLR 2026 · 被引用 2 次
- HairCUP: Hair Compositional Universal Prior for 3D Gaussian AvatarsByungjun Kim, Shunsuke Saito, Giljoo Nam, Tomas Simon 等ICCV 2025 · 被引用 2 次
它引用的顶会 Paper55
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- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Segment AnythingAlexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao 等ICCV 2023 · 被引用 13,211 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
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