Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera

Author:

Yoon Jae Shin1,Ceylan Duygu2,Wang Tuanfeng Y.2,Lu Jingwan2,Yang Jimei2,Shu Zhixin2,Park Hyun Soo1

Affiliation:

1. University of Minnesota

2. Adobe Research

Funder

University of Minnesota

NSF

Publisher

IEEE

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. RANA: Relightable Articulated Neural Avatars;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

3. PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings;2023-07-23

4. FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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