Tuesday, June 24
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
UIST'14
Deep Learning in 3D Vision and Computer Graphics | Ruofei Du, Ph.D., Interactive Perception & Graphics Lead, Google AR
PIXL: Publications
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
PROGRAM GUIDE Main conference
arXiv:2108.09000v1 [cs.CV] 20 Aug 2021
VRGit: A Version Control System for Collaborative Content Creation in Virtual Reality
Extended Abstract Track
CVPR-2017-Abstracts-Collection/CVPR2017_Abstract_Collection.md at master · JingyunLiang/CVPR-2017-Abstracts-Collection · GitHub
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
arXiv:2102.08945v1 [cs.CV] 17 Feb 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
arXiv:2108.09000v1 [cs.CV] 20 Aug 2021
NeRF-Editing: Geometry Editing of Neural Radiance Fields – arXiv Vanity
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool – arXiv Vanity
ECVA | European Computer Vision Association
SIGGRAPH 2022: 49th Annual Conference on Computer Graphics and Interactive Techniques – ACM SIGGRAPH HISTORY ARCHIVES
Awesome-Computer-Vision-Paper-List/ICCV/iccv2017.md at main · yarkable/Awesome-Computer-Vision-Paper-List · GitHub
Pixel2Mesh++: Multi-View 3D Mesh Generation Via Deformation | PDF | Deep Learning | Shape
