| ycjing/Neural-Style-Transfer-Papers |
1,477 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
|
| :pencil2: Neural Style Transfer: A Review |
| DmitryUlyanov/texture_nets |
1,109 |
|
0 |
0 |
over 8 years ago |
0 |
|
41 |
apache-2.0 |
Lua |
| Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper. |
| jessemelpolio/non-stationary_texture_syn |
281 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
mit |
Python |
| Code used for texture synthesis using GAN |
| leongatys/DeepTextures |
229 |
|
0 |
0 |
about 10 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376) |
| menpo/itwmm |
162 |
|
0 |
0 |
almost 8 years ago |
0 |
|
11 |
other |
Jupyter Notebook |
| In The Wild 3D Morphable Models |
| anopara/patch-based-texture-synthesis |
132 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
mit |
Jupyter Notebook |
| Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers |
| anopara/multi-resolution-texture-synthesis |
97 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Based on “Fast Texture Synthesis using Tree-structured Vector Quantization” and “Multiresolution Sampling Procedure for Analysis and Synthesis of Texture Images” papers |
| LiYingwei/ShapeTextureDebiasedTraining |
85 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021) |
| microsoft/unadversarial |
75 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Official repository for our "Unadversarial Examples: Designing Objects for Robust Vision" paper |
| henzler/neuraltexture |
45 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
mit |
Python |
| Learning a Neural 3D Texture Space from 2D Exemplars [CVPR 2020] |
