| alexjc/neural-doodle |
9,399 |
|
0 |
0 |
almost 6 years ago |
0 |
|
50 |
agpl-3.0 |
Python |
| Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.) |
| rgeirhos/texture-vs-shape |
728 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
other |
R |
| Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral) |
| rgeirhos/Stylized-ImageNet |
485 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Python |
| Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral) |
| zhanghang1989/Torch-Encoding-Layer |
82 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
|
Lua |
| Deep Texture Encoding Network |
| ofsoundof/3D_Appearance_SR |
77 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
mit |
Python |
| This is the official website of our work 3D Appearance Super-Resolution with Deep Learning published on CVPR2019. |
| RasmusRPaulsen/Deep-MVLM |
52 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement" |
| henzler/neuraltexture |
45 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Python |
| Learning a Neural 3D Texture Space from 2D Exemplars [CVPR 2020] |
| jiaxue1993/Deep-Encoding-Pooling-Network-DEP- |
29 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
|
Python |
| Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018 |
| perceivelab/surfacenet |
28 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Python |
| The official PyTorch implementation for paper "SurfaceNet: Adversarial SVBRDF Estimation from a Single Image" |
| yuchen071/Normal-map-generator |
26 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Python |
| Generate a normal map or displacement map from a photo texture with UNet |
