| yunjey/stargan |
5,170 |
|
0 |
0 |
about 5 years ago |
0 |
|
58 |
mit |
Python |
| StarGAN - Official PyTorch Implementation (CVPR 2018) |
| zhaoxin94/awesome-domain-adaptation |
4,771 |
|
0 |
0 |
about 2 years ago |
0 |
|
3 |
mit |
|
| A collection of AWESOME things about domian adaptation |
| NVlabs/PWC-Net |
1,394 |
|
0 |
0 |
over 3 years ago |
0 |
|
56 |
other |
Python |
| PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral) |
| JiaRenChang/PSMNet |
1,007 |
|
0 |
0 |
over 4 years ago |
0 |
|
148 |
mit |
Python |
| Pyramid Stereo Matching Network (CVPR2018) |
| fidler-lab/polyrnn-pp-pytorch |
634 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
|
|
| PyTorch training/tool code for Polygon-RNN++ (CVPR 2018) |
| jiangxiluning/FOTS.PyTorch |
604 |
|
0 |
0 |
about 3 years ago |
0 |
|
80 |
bsd-3-clause |
Python |
| FOTS Pytorch Implementation |
| ThibaultGROUEIX/AtlasNet |
561 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image. |
| twhui/LiteFlowNet |
543 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
other |
C++ |
| LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%) |
| zhirongw/lemniscate.pytorch |
467 |
|
0 |
0 |
over 5 years ago |
0 |
|
9 |
|
Python |
| Unsupervised Feature Learning via Non-parametric Instance Discrimination |
| alterzero/DBPN-Pytorch |
388 |
|
0 |
0 |
almost 6 years ago |
0 |
|
18 |
mit |
Python |
| The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018) |
