CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos-Reference-Cited by-同舟云学术

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CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos

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

Kuai Tianshu¹,Karthikeyan Akash¹,Kant Yash¹,Mirzaei Ashkan¹,Gilitschenski Igor¹

Affiliation:

1. University of Toronto

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208717.pdf?arnumber=10208717

Reference81 articles.

1. ARCH: Animatable Reconstruction of Clothed Humans

2. Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction;wang;NeurIPS,2021

3. ARCH++: Animation-Ready Clothed Human Reconstruction Revisited

4. Neural trajectory fields for dynamic novel view synthesis;wang,2021

5. Learning category-specific mesh reconstruction from image collections;kanazawa;ECCV,2018

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

2. Generating 3D Models for Prototyping of Virtual Environments using NeRF;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

3. AvatarOne: Monocular 3D Human Animation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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