7 papers
Forge-and-Quench: Enhancing Image Generation for Higher Fidelity in Unified Multimodal Models
Yanbing Zeng, Jia Wang, Hanghang Ma +4
Integrating image generation and understanding into a single framework has become a pivotal goal in the multimodal domain. However, how understanding can effectively assist generat…
MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
Jia Wang, Jie Hu, Xiaoqi Ma +3
Text-to-image (T2I) generation has achieved remarkable progress in instruction following and aesthetics. However, a persistent challenge is the prevalence of physical artifacts, su…
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes
Huijie Liu, Bingcan Wang, Jie Hu +2
Dish images play a crucial role in the digital era, with the demand for culturally distinctive dish images continuously increasing due to the digitization of the food industry and…
Image Editing with Diffusion Models: A Survey
Jia Wang, Jie Hu, Xiaoqi Ma +3
With deeper exploration of diffusion model, developments in the field of image generation have triggered a boom in image creation. As the quality of base-model generated images con…
Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models
Huijie Liu, Jingyun Wang, Shuai Ma +3
Motion customization aims to adapt the diffusion model (DM) to generate videos with the motion specified by a set of video clips with the same motion concept. To realize this goal,…
RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction
Xiaoping Wu, Jie Hu, Xiaoming Wei
Diffusion Probabilistic Models (DPMs) have emerged as the de facto approach for high-fidelity image synthesis, operating diffusion processes on continuous VAE latent, which signifi…