DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
Zheng Ding, Xuaner Zhang, Zhihao Xia, Lars Jebe, Zhuowen Tu, Xiuming Zhang
2023年份
33顶会引用
摘要
Input Rigging Expression Rigging Lighting Rigging Pose Condition Output Condition Output Condition Output Figure 1. DiffusionRig takes in coarse physical rendering as the condition to "rig" the input image with learned personal priors. The edited images respect the rendering conditions, preserve the identity, and exhibit high-frequency facial details.
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引用它的顶会 Paper33
- MIGC: Multi-Instance Generation Controller for Text-to-Image SynthesisDewei Zhou, You Li, Fan Ma, Xiaoting Zhang 等CVPR 2024 · 被引用 52 次
- DiLightNet: Fine-grained Lighting Control for Diffusion-based Image GenerationChong Zeng, Yue Dong, Pieter Peers, Youkang Kong 等SIGGRAPH 2024 · 被引用 41 次
- PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved PersonalizationXu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai 等CVPR 2024 · 被引用 28 次
- HAIGEN: Towards Human-AI Collaboration for Facilitating Creativity and Style Generation in Fashion DesignJianan Jiang, Di Wu, Hanhui Deng, Yidan Long 等UbiComp 2024 · 被引用 28 次
- 3D Facial Expressions through Analysis-by-Neural-SynthesisGeorge Retsinas, Panagiotis Paraskevas Filntisis, Radek Danecek, Victoria Fernández Abrevaya 等CVPR 2024 · 被引用 26 次
它引用的顶会 Paper24
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- Diffusion Models Beat GANs on Image SynthesisPrafulla Dhariwal, Alexander Quinn NicholNeurIPS 2021 · 被引用 13,211 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
- Improved Denoising Diffusion Probabilistic ModelsAlexander Quinn Nichol, Prafulla DhariwalICML 2021 · 被引用 5,234 次
- Alias-Free Generative Adversarial NetworksTero Karras, Miika Aittala, Samuli Laine, Erik Härkönen 等NeurIPS 2021 · 被引用 2,126 次
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