Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble-Reference-Cited by-同舟云学术

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Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Yao Chun-Han¹,Hung Wei-Chih²,Li Yuanzhen³,Rubinstein Michael³,Yang Ming-Hsuan¹,Jampani Varun³

Affiliation:

1. UC Merced

2. Waymo

3. Google Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204525.pdf?arnumber=10204525

Reference45 articles.

1. Shape and viewpoint without keypoints;goel;ECCV,0

2. ViSER: Video-specific surface embeddings for articulated 3d shape reconstruction;yang;NeurIPS,0

3. Multiplicative filter networks;fathony;ICLRE,0

4. LASR: Learning Articulated Shape Reconstruction from a Monocular Video

5. SCOPS: Self-Supervised Co-Part Segmentation

Cited by 3 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. S‐LASSIE: Structure and smoothness enhanced learning from sparse image ensemble for 3D articulated shape reconstruction;Computer Animation and Virtual Worlds;2024-05

2. Recent Trends in 3D Reconstruction of General Non‐Rigid Scenes;Computer Graphics Forum;2024-04-30

3. Farm3D: Learning Articulated 3D Animals by Distilling 2D Diffusion;2024 International Conference on 3D Vision (3DV);2024-03-18

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