kylehkhsu / latent_quantizationLinks
☆41Updated last year
Alternatives and similar repositories for latent_quantization
Users that are interested in latent_quantization are comparing it to the libraries listed below
Sorting:
- Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)☆62Updated 2 years ago
- ☆138Updated last year
- The official repository for the paper "Optimal Flow Matching: Learning Straight Trajectories in Just One Step" (NeurIPS 2024)☆86Updated 8 months ago
- Code for ICLR 2023 Paper, "Stable Target Field for Reduced Variance Score Estimation in Diffusion Models”☆76Updated 2 years ago
- Official code implementation for the work Preference Alignment with Flow Matching (NeurIPS 2024)☆57Updated 9 months ago
- Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023☆86Updated 6 months ago
- PyTorch implementation of Shortcut Models [Frans, 2025] with little modification☆51Updated last month
- Code for "Optimizing DDPM Sampling with Shortcut Fine-Tuning" (https://arxiv.org/abs/2301.13362), ICML 2023☆30Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆57Updated 2 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- ☆44Updated last year
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆157Updated last year
- [NeurIPS 2023] Official Implementation: "Consistent Diffusion Models"☆57Updated 2 years ago
- [ICLR'23 Spotlight] gDDIM: analyze and accelerate general diffusion models, isotropic and non-isotropic☆49Updated last year
- Implementation of Discrete Key / Value Bottleneck, in Pytorch☆88Updated 2 years ago
- Implementation of Retrieval-Augmented Denoising Diffusion Probabilistic Models in Pytorch☆65Updated 3 years ago
- Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)☆191Updated 3 years ago
- ☆52Updated 4 years ago
- Personal website☆15Updated 2 months ago
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆120Updated 10 months ago
- Code for the paper: Rotating Features for Object Discovery☆53Updated last year
- Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)☆148Updated 3 years ago
- Improved diffusion generative models with subspaces☆134Updated 3 years ago
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆56Updated last year
- Implementation of RQ Transformer, proposed in the paper "Autoregressive Image Generation using Residual Quantization"☆115Updated 3 years ago
- Score-Based Generative Modeling with Critically-Damped Langevin Diffusion☆197Updated last year
- VQVAE for video prediction☆27Updated 3 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- A benchmarking suite for disentanglement algorithms, suited for evaluating robustness to correlated factors. Codebase for the paper "Dise…☆74Updated 2 years ago
- PyTorch implementation of FiLM: Visual Reasoning with a General Conditioning Layer☆61Updated 5 years ago