Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models
Paper
•
2406.09416
•
Published
•
28
Image-Gen
-
-
Wavelets Are All You Need for Autoregressive Image Generation
Paper • 2406.19997 • Published • 29 -
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Paper • 2407.17365 • Published • 11 -
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Paper • 2408.11001 • Published • 11 -
TraDiffusion: Trajectory-Based Training-Free Image Generation
Paper • 2408.09739 • Published • 7 -
Imagen 3
Paper • 2408.07009 • Published • 61 -
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 31 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 28 -
MaskBit: Embedding-free Image Generation via Bit Tokens
Paper • 2409.16211 • Published • 16 -
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
Paper • 2410.01731 • Published • 15 -
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens
Paper • 2410.13863 • Published • 35 -
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
Paper • 2410.10812 • Published • 14 -
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
Paper • 2410.14672 • Published • 7 -
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 53 -
Scalable Ranked Preference Optimization for Text-to-Image Generation
Paper • 2410.18013 • Published • 14 -
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation
Paper • 2410.20474 • Published • 13