| ycjing/Neural-Style-Transfer-Papers |
1,477 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
|
| :pencil2: Neural Style Transfer: A Review |
| researchmm/TTSR |
646 |
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0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Python |
| [CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution |
| hjwdzh/AdversarialTexture |
87 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
mit |
Python |
| Adversarial Texture Optimization from RGB-D Scans (CVPR 2020). |
| fdp0525/G2LTex |
54 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
|
C++ |
| Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor |
| 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 |
| huihuangzhao/Neural-Style-Transfer-Papers-Code |
19 |
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0 |
0 |
over 7 years ago |
0 |
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1 |
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| rgmyr/keras-texture |
13 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
other |
Python |
| tf.keras implementations of deep texture recognition & fine-grained image classification models |
| zzzzwj/SRNTT_Pytorch |
10 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Python |
| Reimplementation of paper "Image Super-Resolution by Neural Texture Transfer" in CVPR 2019 by pytorch. |
| happyccf/image_style_transfer |
5 |
|
0 |
0 |
over 7 years ago |
0 |
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1 |
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| A survey: detail paper review about image_style_transfer |