Generative_adversarial_perturbations
Generative Adversarial Perturbations (CVPR 2018)
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mimicry | 556 |  | 1 | 2 years ago | 17 | August 14, 2020 | 9 | mit | Python | |
| [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs. | ||||||||||
| Diffusion Point Cloud | 295 | a year ago | 5 | mit | Python | |||||
| :thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021) | ||||||||||
| Latent Pose Reenactment | 145 | a year ago | 4 | apache-2.0 | Python | |||||
| The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper. | ||||||||||
| Lggan | 132 | a year ago | 1 | other | Python | |||||
| [CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation | ||||||||||
| Synthesize3dviadepthorsil | 121 | 4 years ago | 1 | mit | Lua | |||||
| [CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes | ||||||||||
| Ylg | 115 | 3 years ago | 3 | gpl-3.0 | Python | |||||
| [CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models". | ||||||||||
| Generative_adversarial_perturbations | 78 | 3 years ago | 2 | Python | ||||||
| Generative Adversarial Perturbations (CVPR 2018) | ||||||||||
| Sem Pcyc | 63 | 4 years ago | 3 | mit | Python | |||||
| PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019. | ||||||||||
| Winn | 59 | 6 years ago | Jupyter Notebook | |||||||
| Wasserstein Introspective Neural Networks (CVPR 2018 Oral) | ||||||||||
| Manifest | 41 | a year ago | 1 | apache-2.0 | Python | |||||
| Few-shot image translation method working on unstructured environments. ECCV 2022 | ||||||||||
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