SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher
Paper
• 2408.14176 • Published
• 62
Diffusion Models
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Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 63 -
OD-VAE: An Omni-dimensional Video Compressor for Improving Latent Video Diffusion Model
Paper • 2409.01199 • Published • 14 -
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Paper • 2409.01055 • Published • 6 -
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing
Paper • 2409.01322 • Published • 96 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71 -
SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
Paper • 2409.06633 • Published • 15 -
OmniGen: Unified Image Generation
Paper • 2409.11340 • Published • 115 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 30 -
Imagine yourself: Tuning-Free Personalized Image Generation
Paper • 2409.13346 • Published • 69 -
MonoFormer: One Transformer for Both Diffusion and Autoregression
Paper • 2409.16280 • Published • 18 -
MaskBit: Embedding-free Image Generation via Bit Tokens
Paper • 2409.16211 • Published • 17