Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Paper • 2511.22699 • Published 10 days ago • 151
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield Paper • 2511.22677 • Published 10 days ago • 20
Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield Paper • 2511.22677 • Published 10 days ago • 20
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer Paper • 2511.22699 • Published 10 days ago • 151
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning Paper • 2504.07960 • Published Apr 10 • 50
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning Paper • 2504.07960 • Published Apr 10 • 50
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Paper • 2501.13920 • Published Jan 23 • 19
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework Paper • 2503.21758 • Published Mar 27 • 22
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework Paper • 2503.21758 • Published Mar 27 • 22
IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image Models Paper • 2501.13920 • Published Jan 23 • 19
Chirpy3D: Continuous Part Latents for Creative 3D Bird Generation Paper • 2501.04144 • Published Jan 7 • 19
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow Paper • 2410.07536 • Published Oct 10, 2024 • 5
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow Paper • 2410.07536 • Published Oct 10, 2024 • 5
I-Max: Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers with Projected Flow Paper • 2410.07536 • Published Oct 10, 2024 • 5 • 2