CompVis / discrete-interpolantsLinks
The official implementation of "[MASK] is All You Need"
☆124Updated 2 months ago
Alternatives and similar repositories for discrete-interpolants
Users that are interested in discrete-interpolants are comparing it to the libraries listed below
Sorting:
- Autoregressive Image Generation with Randomized Parallel Decoding☆77Updated 6 months ago
- [Preprint] UCGM: Unified Continuous Generative Models☆170Updated 4 months ago
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆151Updated 8 months ago
- [NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think☆127Updated last week
- The codebase of our paper "Improving the Training of Rectified Flows", NeurIPS 2024☆122Updated 11 months ago
- This is the official implementation for ControlVAR.☆121Updated 9 months ago
- [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'☆61Updated 2 months ago
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆90Updated 2 months ago
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆154Updated 5 months ago
- [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation☆51Updated 2 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆106Updated last week
- [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.☆153Updated 3 months ago
- A PyTorch implementation of the paper "Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis"☆46Updated last year
- ☆269Updated 4 months ago
- Scalable Diffusion Models with State Space Backbone☆158Updated last year
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆235Updated 5 months ago
- Code for ICML 2025 Paper "Highly Compressed Tokenizer Can Generate Without Training"☆177Updated 3 months ago
- (ICCV 2025) "Principal Components" Enable A New Language of Images☆63Updated 2 months ago
- 🔥stable, simple, state-of-the-art VQVAE toolkit & cookbook☆100Updated last year
- [ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/To…☆141Updated 2 months ago
- FlexTok: Resampling Images into 1D Token Sequences of Flexible Length☆255Updated 4 months ago
- [NeurIPS'25 Spotlight] Boosting Generative Image Modeling via Joint Image-Feature Synthesis☆72Updated last week
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆174Updated 7 months ago
- [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective☆71Updated 11 months ago
- ☆87Updated 6 months ago
- Implementation of the paper "MaskBit: Embedding-free Image Generation from Bit Tokens"☆87Updated 5 months ago
- DDT: Decoupled Diffusion Transformer☆276Updated last month
- Official Implementation for Diffusion Models Without Classifier-free Guidance☆152Updated 7 months ago
- [NeurIPS 24] Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models☆42Updated last year
- Transformer-Mamba Diffusion Models☆116Updated last year