NUS-HPC-AI-Lab / Dynamic-Diffusion-TransformerLinks
☆89Updated 7 months ago
Alternatives and similar repositories for Dynamic-Diffusion-Transformer
Users that are interested in Dynamic-Diffusion-Transformer are comparing it to the libraries listed below
Sorting:
- Autoregressive Image Generation with Randomized Parallel Decoding☆81Updated 3 weeks ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆107Updated last month
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆145Updated 7 months ago
- [NeurIPS 2025 Oral] Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think☆180Updated last month
- [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation☆56Updated 4 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 7 months ago
- [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"☆24Updated last year
- This is the official implementation for ControlVAR.☆123Updated 11 months ago
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆160Updated last year
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆96Updated 9 months ago
- Code for D-DiT☆51Updated 7 months ago
- [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need☆242Updated 8 months ago
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆147Updated 8 months ago
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆237Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- a collection of awesome autoregressive visual generation models☆79Updated 6 months ago
- Transition Models☆133Updated last month
- The official code of "Weak-to-Strong Diffusion with Reflection".☆54Updated 6 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆58Updated 7 months ago
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆94Updated 3 months ago
- [ICCV2025] TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/To…☆147Updated 3 months ago
- [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project☆178Updated 7 months ago
- The official implementation of "2025ICLR Dynamic Diffusion Transformer" and "2025ArXivDyDiT++: Dynamic Diffusion Transformers for Efficie…☆42Updated 7 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆51Updated last year
- The official implementation of "[MASK] is All You Need"☆125Updated 3 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆84Updated 11 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 9 months ago
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆174Updated 8 months ago
- Denoising Diffusion Step-aware Models (ICLR2024)☆62Updated last year
- ☆183Updated 10 months ago