NUS-HPC-AI-Lab / Dynamic-Diffusion-Transformer
β47Updated last week
Alternatives and similar repositories for Dynamic-Diffusion-Transformer:
Users that are interested in Dynamic-Diffusion-Transformer are comparing it to the libraries listed below
- CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficientβ75Updated this week
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"β45Updated 2 weeks ago
- π Collection of awesome generation acceleration resources.β112Updated this week
- [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"β21Updated 11 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Cachingβ92Updated 6 months ago
- This is a repo to track the latest autoregressive visual generation papers.β119Updated this week
- Accelerating Diffusion Transformers with Token-wise Feature Cachingβ49Updated this week
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"β81Updated 3 months ago
- This is the official implementation for ControlVAR.β91Updated last month
- Denoising Diffusion Step-aware Models (ICLR2024)β54Updated 11 months ago
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representationsβ134Updated 7 months ago
- A PyTorch implementation of the paper "Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis"β40Updated 7 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Trainingβ165Updated this week
- The collection of awesome papers on alignment of diffusion models.β84Updated last week
- [NeurIPS 2024] The official implement of research paper "FreeLong : Training-Free Long Video Generation with SpectralBlend Temporal Attenβ¦β35Updated last month
- Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decodingβ28Updated 2 months ago
- [ICML 2024] On Discrete Prompt Optimization for Diffusion Models - Googleβ45Updated 5 months ago
- βFlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matchingβ FlowAR employs a simplest scale design and is compatible with anβ¦β84Updated last month
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"β23Updated 2 months ago
- Liquid: Language Models are Scalable Multi-modal Generatorsβ61Updated last month
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"β34Updated 6 months ago
- a collection of awesome autoregressive visual generation modelsβ65Updated last week
- InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption πβ29Updated last week
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]β77Updated 2 months ago
- Open implementation of "RandAR"β51Updated 2 weeks ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.β35Updated 6 months ago
- "SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liuβ45Updated 2 months ago
- [NeurIPS 2024] Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspectiveβ59Updated 2 months ago
- CAR: Controllable AutoRegressive Modeling for Visual Generationβ96Updated 2 months ago
- XQ-GANπ: An Open-source Image Tokenization Framework for Autoregressive Generationβ182Updated last week