Pixel2Mesh++: 3D Mesh Generation and Refinement From Multi-View Images
Author:
Affiliation:
1. Fudan University, Shanghai, China
2. Google, Mountain View, CA, USA
3. Nuro, Inc., Mountain View, CA, USA
4. School of Data Science, Fudan University, Shanghai, China
Funder
National Natural Science Foundation of China
SMSTM Project
Shanghai Municipal Science and Technology Major Project
ZJ Lab
Shanghai Center for Brain Science and Brain-Inspired Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software
Link
http://xplorestaging.ieee.org/ielx7/34/10008914/09763061.pdf?arnumber=9763061
Reference81 articles.
1. Multi-view 3D Models from Single Images with a Convolutional Network
2. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
3. SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
4. NERF: Representing scenes as neural radiance fields for view synthesis;mildenhall;Proc Eur Conf Comput Vis,2020
5. Occupancy Networks: Learning 3D Reconstruction in Function Space
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