DIYer22 / discrete_distribution_networksLinks
DDN: A novel generative model with simple principles and unique properties. (ICLR 2025)
☆173Updated 4 months ago
Alternatives and similar repositories for discrete_distribution_networks
Users that are interested in discrete_distribution_networks are comparing it to the libraries listed below
Sorting:
- JAX implementation of MeanFlow☆510Updated 5 months ago
- [ICCV 2025] SimVQ: Addressing Representation Collapse in Vector Quantized Models with One Linear Layer☆312Updated last year
- ☆295Updated 7 months ago
- [ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/To…☆150Updated 5 months ago
- A Pytorch Implementation of Finite Scalar Quantization☆168Updated 2 years ago
- Pytorch implementation of MeanFlow on ImageNet and CIFAR10☆387Updated this week
- Towards training VQ-VAE models robustly!☆91Updated 5 months ago
- Implementation of Autoregressive Diffusion in Pytorch☆430Updated 3 weeks ago
- PyTorch re-implementation for MeanFlow☆113Updated 5 months ago
- Shortcut flow matching Pytorch implementation☆71Updated 11 months ago
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN-type Discrimination☆109Updated 4 months ago
- Official Implementation for Diffusion Models Without Classifier-free Guidance☆164Updated 10 months ago
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆241Updated 2 months ago
- ☆156Updated 8 months ago
- ☆140Updated last year
- Unofficial implementation of "Simplifying, Stabilizing & Scaling Continuous-Time Consistency Models" for MNIST☆84Updated 9 months ago
- Pytorch implementation for MeanFlow☆277Updated 5 months ago
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆162Updated 10 months ago
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆101Updated 5 months ago
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆163Updated 7 months ago
- Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"☆195Updated 6 months ago
- [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"☆228Updated last year
- Scalable Diffusion Models with State Space Backbone☆155Updated last year
- Official PyTorch implementation of FlowMo.☆105Updated 8 months ago
- A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application☆327Updated 10 months ago
- [CVPR2025] PyTorch-based reimplementation of CrossFlow, as proposed in 'Flowing from Words to Pixels: A Noise-Free Framework for Cross-Mo…☆325Updated 6 months ago
- Explore how to get a VQ-VAE models efficiently!☆65Updated 5 months ago
- Official Implementation for "Consistency Flow Matching: Defining Straight Flows with Velocity Consistency"☆255Updated 11 months ago
- [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'☆73Updated 4 months ago
- DiffusionNFT: Online Diffusion Reinforcement with Forward Process☆510Updated 3 months ago