lissomx / MSPLinks
MSP project: Latent Space Factorisation and Manipulation via Matrix Subspace Projection (ICML2020)
☆14Updated 3 years ago
Alternatives and similar repositories for MSP
Users that are interested in MSP are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated 2 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 2 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆62Updated 2 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- ☆32Updated 4 years ago
- ☆37Updated last year
- ☆36Updated 4 years ago
- Repository for the PopulAtion Parameter Averaging (PAPA) paper☆27Updated last year
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated 2 years ago
- Code for "Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks" (NeurIPS 2021)☆20Updated 3 years ago
- ☆24Updated 3 years ago
- ☆20Updated 5 years ago
- ☆52Updated 4 years ago
- ☆61Updated 2 years ago
- ☆33Updated 2 years ago
- A new play-and-plug method of controlling an existing generative model with conditioning attributes and their compositions.☆73Updated 3 years ago
- [ICML'21] Improved Contrastive Divergence Training of Energy Based Models☆63Updated 3 years ago
- ☆16Updated 2 years ago
- A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…☆45Updated 2 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆85Updated 3 years ago
- Invertible Generative Flows☆85Updated 4 years ago
- ☆41Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago