NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
☆78Updated last month
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] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆100Updated last month
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆47Updated last month
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆113Updated last month
- “FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching” FlowAR employs a simplest scale design and is compatible with an…☆110Updated last week
- Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers☆194Updated 3 weeks ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 7 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆147Updated 6 months ago
- This is the official implementation for ControlVAR.☆107Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆102Updated 9 months ago
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆68Updated 3 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆81Updated 5 months ago
- TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/TokenBridge☆108Updated last week
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆48Updated last month
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆140Updated 2 months ago
- PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT☆78Updated 3 weeks ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆45Updated 10 months ago
- [CVPR2025 Highlight] PAR: Parallelized Autoregressive Visual Generation. https://yuqingwang1029.github.io/PAR-project☆151Updated last month
- Autoregressive Image Generation with Randomized Parallel Decoding☆57Updated last month
- [CVPR 2025] DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention☆164Updated 2 months ago
- This repository includes the official implementation of our paper "Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generat…☆203Updated last week
- CAR: Controllable AutoRegressive Modeling for Visual Generation☆116Updated 5 months ago
- [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective☆68Updated 6 months ago
- The official code of "Weak-to-Strong Diffusion with Reflection".☆45Updated last week
- Denoising Diffusion Step-aware Models (ICLR2024)☆60Updated last year
- [ICML'25] EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.☆102Updated 2 months ago
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆41Updated 10 months ago
- ☆159Updated 4 months ago
- Official PyTorch Implementation of "Scalable Autoregressive Image Generation with Mamba"☆136Updated 4 months ago
- Official Implementation for Diffusion Models Without Classifier-free Guidance☆118Updated 2 months ago
- The official implementation of "2025ICLR Dynamic Diffusion Transformer" and "2025ArXivDyDiT++: Dynamic Diffusion Transformers for Efficie…☆33Updated last month