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awesome-efficient-video-generation
A curated list of recent efficient video generation methods.
https://github.com/nus-hpc-ai-lab/awesome-efficient-video-generation
Last synced: 1 day ago
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📄 Papers
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Scheduler
- Paper
- Paper - Flow) | ![GitHub stars](https://img.shields.io/github/stars/jy0205/Pyramid-Flow?style=social)
- Paper
- Paper - consistency-model) | ![GitHub stars](https://img.shields.io/github/stars/luosiallen/latent-consistency-model?style=social)
- Paper - solver) | ![GitHub stars](https://img.shields.io/github/stars/LuChengTHU/dpm-solver?style=social)
- Paper
- Paper
- Paper - solver) | ![GitHub stars](https://img.shields.io/github/stars/LuChengTHU/dpm-solver?style=social)
- Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
- DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
- Flow Matching for Generative Modeling
- Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
- DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
- Denoising Diffusion Implicit Models
- Pyramidal Flow Matching for Efficient Video Generative Modeling
- AdaDiff: Adaptive Step Selection for Fast Diffusion Models
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Distillation
- Paper
- Paper
- Distilling Diffusion Models into Conditional GANs
- Paper
- Paper
- Paper
- Paper - consistency-model) | ![GitHub stars](https://img.shields.io/github/stars/luosiallen/latent-consistency-model?style=social)
- Paper
- Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
- LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
- Paper
- Adversarial Diffusion Distillation
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Caching
- Paper
- Paper - DiT/AdaCache) | ![GitHub stars](https://img.shields.io/github/stars/AdaCache-DiT/AdaCache?style=social)
- Paper - HPC-AI-Lab/VideoSys) | ![GitHub stars](https://img.shields.io/github/stars/NUS-HPC-AI-Lab/VideoSys?style=social)
- Paper
- Paper - nics/DiTFastAttn) | ![GitHub stars](https://img.shields.io/github/stars/thu-nics/DiTFastAttn?style=social)
- Paper - ST/T-GATE) | ![GitHub stars](https://img.shields.io/github/stars/HaozheLiu-ST/T-GATE?style=social)
- Paper - Z/ToCa) | ![GitHub stars](https://img.shields.io/github/stars/Shenyi-Z/ToCa?style=social)
- ∆-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
- DiTFastAttn: Attention Compression for Diffusion Transformer Models
- Faster Diffusion via Temporal Attention Decomposition
- Paper - ST/T-GATE) | ![GitHub stars](https://img.shields.io/github/stars/HaozheLiu-ST/T-GATE?style=social)
- Adaptive Caching for Faster Video Generation with Diffusion Transformers
- FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
- Accelerating Diffusion Transformers with Token-wise Feature Caching
- Real-Time Video Generation with Pyramid Attention Broadcast
- Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models
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Parallelism
- Paper - han-lab/distrifuser) | ![GitHub stars](https://img.shields.io/github/stars/mit-han-lab/distrifuser?style=social)
- Paper - project/xDiT) | ![GitHub stars](https://img.shields.io/github/stars/xdit-project/xDiT?style=social)
- Paper - HPC-AI-Lab/VideoSys) | ![GitHub stars](https://img.shields.io/github/stars/NUS-HPC-AI-Lab/VideoSys?style=social)
- DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
- xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
- DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers
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