NUS-HPC-AI-Lab / Dynamic-Diffusion-TransformerLinks
☆87Updated 5 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:
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆139Updated 5 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆105Updated 5 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆72Updated 5 months ago
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆172Updated 6 months ago
- This is the official implementation for ControlVAR.☆120Updated 9 months ago
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆233Updated 4 months ago
- [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project☆171Updated 5 months ago
- (SRA) No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆87Updated last month
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆159Updated 10 months ago
- [ICCV 2025] Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers☆339Updated 2 months ago
- The official implementation of "2025ICLR Dynamic Diffusion Transformer" and "2025ArXivDyDiT++: Dynamic Diffusion Transformers for Efficie…☆41Updated 5 months ago
- [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models☆39Updated 6 months ago
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆146Updated 6 months ago
- The official implementation of "[MASK] is All You Need"☆124Updated last month
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆55Updated 5 months ago
- a collection of awesome autoregressive visual generation models☆77Updated 4 months ago
- Code for D-DiT☆46Updated 5 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 11 months ago
- Official Implementation for Diffusion Models Without Classifier-free Guidance☆149Updated 6 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 5 months ago
- [CVPR 2025] HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation☆48Updated 2 months ago
- [ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need☆236Updated 6 months ago
- The official code of "Weak-to-Strong Diffusion with Reflection".☆48Updated 4 months ago
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆149Updated 4 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 7 months ago
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆90Updated 7 months ago
- Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"☆140Updated 8 months ago
- [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"☆23Updated last year
- ☆179Updated 8 months ago
- [NeurIPS 24] Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models☆41Updated 11 months ago