Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models Paper • 2406.09416 • Published Jun 13 • 28
Wavelets Are All You Need for Autoregressive Image Generation Paper • 2406.19997 • Published Jun 28 • 29
ViPer: Visual Personalization of Generative Models via Individual Preference Learning Paper • 2407.17365 • Published Jul 24 • 11
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning Paper • 2408.11001 • Published Aug 20 • 11
TraDiffusion: Trajectory-Based Training-Free Image Generation Paper • 2408.09739 • Published Aug 19 • 8
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think Paper • 2409.11355 • Published Sep 17 • 28
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation Paper • 2410.01731 • Published Oct 2 • 15
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens Paper • 2410.13863 • Published Oct 17 • 35
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer Paper • 2410.10812 • Published Oct 14 • 14
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities Paper • 2410.14672 • Published Oct 18 • 7
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation Paper • 2410.13861 • Published Oct 17 • 53
Scalable Ranked Preference Optimization for Text-to-Image Generation Paper • 2410.18013 • Published Oct 23 • 14
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation Paper • 2410.20474 • Published 28 days ago • 13
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models Paper • 2411.05005 • Published 17 days ago • 13
Edify Image: High-Quality Image Generation with Pixel Space Laplacian Diffusion Models Paper • 2411.07126 • Published 13 days ago • 28