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• SALAD: Achieve High-Sparsity Attention via Efficient Linear Attention Tuning for Video Diffusion Transformer
  2026
• Token Pruning for Caching Better: 9 Times Acceleration on Stable Diffusion for Free
  2025
• OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
  2023
• A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
  2023
• FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
  2024
• Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
  2024
• DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
  2024
• MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  2024
• ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
  2024
• Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
  2024
• LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization
  2024
• GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration
  2024
• Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching
  2024