Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework
Ziyao Huang, Fan Tang, Yong Zhang, Xiaodong Cun, Juan Cao, Jintao Li, Tong-Yee Lee
2024年份
15顶会引用
摘要
Video for model training. Video for model training. Motion condition Motion condition Generated anchor videos. Generated anchor videos. Figure 1 . We propose Make-Your-Anchor, a diffusion-based 2D avatar generation framework, to map the animatable human 3D mesh sequence into realistic human video. By combining with motion capturing or audio-to-motion methods, our framework could achieve anchor video auto-generation with temporal and lifelike outcomes.
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引用它的顶会 Paper15
- ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion ModelingQuanwei Yang, Jiazhi Guan, Kaisiyuan Wang, Lingyun Yu 等NeurIPS 2024 · 被引用 21 次
- UltraGen: High-Resolution Video Generation with Hierarchical AttentionTeng Hu, Jiangning Zhang, Zihan Su, Ran YiAAAI 2026 · 被引用 7 次
- Video Motion GraphsHaiyang Liu, Zhan Xu, Fa-Ting Hong, Hsin-Ping Huang 等ICCV 2025 · 被引用 6 次
- DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid GuidanceYuxuan Luo, Zhengkun Rong, Lizhen Wang, Longhao Zhang 等ICCV 2025 · 被引用 5 次
- A Multidimensional Measurement of Photorealistic Avatars Quality of ExperienceRoss Cutler, Babak Naderi, Vishak Gopal, Dharmendar Reddy PalleCSCW 2025 · 被引用 3 次
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