HuQyang / Disentangling-Factors-of-Variation-by-Mixing-ThemLinks
Disentangling Factors of Variation by Mixing Them codes
☆16Updated 6 years ago
Alternatives and similar repositories for Disentangling-Factors-of-Variation-by-Mixing-Them
Users that are interested in Disentangling-Factors-of-Variation-by-Mixing-Them are comparing it to the libraries listed below
Sorting:
- "Unsupervised Discovery of Object Landmarks as Structural Representations" Project page: http://www.ytzhang.net/projects/lmdis-rep/☆136Updated 3 years ago
- ☆55Updated 4 years ago
- Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"☆59Updated 4 years ago
- A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation☆141Updated 6 years ago
- Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"☆64Updated 6 years ago
- Code for paper "Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery", Ren et al., CVPR'18☆68Updated 4 years ago
- Tensorflow implementation of the ICML 2017 paper: Learning to Generate Long-term Future via Hierarchical Prediction☆74Updated 7 years ago
- Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018☆140Updated 6 years ago
- Pytorch Implementation of NeurIPS'18 paper on Generative Image Manipulation with Hierarchical Semantic Structures☆69Updated 6 years ago
- [ICLR 2019] ]Unsupervised Discovery of Parts, Structure, and Dynamics☆46Updated 2 years ago
- ☆87Updated 5 years ago
- Code for model presented on our paper accepted on European Conference on Computer Vision 2018.☆58Updated 6 years ago
- Deep Feature Factorization☆57Updated 5 years ago
- Pytorch implementation of "Video Generation from Single Semantic Label Map", CVPR 2019☆138Updated 6 years ago
- Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks☆48Updated 6 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Updated 5 years ago
- Few-Shot Image Recognition by Predicting Parameters from Activations☆111Updated 7 years ago
- ☆45Updated 6 years ago
- Code for NeurIPS 2019 paper Emergence of Object Segmentation in Perturbed Generative Models☆32Updated 5 years ago
- Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.☆59Updated 6 years ago
- ☆57Updated 2 years ago
- TensorFlow implementation of NIPS 2017 paper Pose Guided Person Image Generation. https://arxiv.org/abs/1705.09368☆47Updated 7 years ago
- Compositional Video Prediction (ICCV19)☆62Updated 5 years ago
- code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statisti…☆62Updated 4 years ago
- A flexible pytorch DataParallel module☆22Updated 7 years ago
- ☆12Updated 2 years ago
- Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)☆84Updated 7 years ago
- SeGAN: Segmenting and Generating the Invisible (https://arxiv.org/pdf/1703.10239.pdf)☆67Updated 3 years ago
- Cross-domain disentanglement network☆91Updated 6 years ago
- Code for the paper "A Zero-Shot Framework for Sketch Based Image Retrievel"☆30Updated 7 years ago