VINCIE Collection A diffusion transformer model for in-context image generation and editing • 2 items • Updated Jul 2 • 4
Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation Paper • 2506.09350 • Published Jun 11 • 48
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training Paper • 2506.05301 • Published Jun 5 • 55
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published Apr 11 • 130 • 12
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published Apr 11 • 130 • 12
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published Apr 11 • 130
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published Apr 11 • 130 • 12
Synthetic Video Enhances Physical Fidelity in Video Synthesis Paper • 2503.20822 • Published Mar 26 • 16
Diffusion Adversarial Post-Training for One-Step Video Generation Paper • 2501.08316 • Published Jan 14 • 36
SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration Paper • 2501.01320 • Published Jan 2 • 11
Muse: Text-To-Image Generation via Masked Generative Transformers Paper • 2301.00704 • Published Jan 2, 2023
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs Paper • 2306.17842 • Published Jun 30, 2023 • 9
VideoGLUE: Video General Understanding Evaluation of Foundation Models Paper • 2307.03166 • Published Jul 6, 2023 • 5
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation Paper • 2310.05737 • Published Oct 9, 2023 • 5
Fine-grained Controllable Video Generation via Object Appearance and Context Paper • 2312.02919 • Published Dec 5, 2023 • 13
Photorealistic Video Generation with Diffusion Models Paper • 2312.06662 • Published Dec 11, 2023 • 24