11 citations · 11 across the 6 of their papers we have counts for
6 papers
Persistent Identity Preservation in Generative Image Models: A Benchmark and Evaluation System
Mengwei Ren, Xuaner Zhang, Zhihao Xia
Generative image models can now produce high-quality images, follow complex instructions, and support precise edits, but they still struggle to preserve who or what is being depict…
LEDiff: Latent Exposure Diffusion for HDR Generation
Chao Wang, Zhihao Xia, Thomas Leimkuehler +2
While consumer displays increasingly support more than 10 stops of dynamic range, most image assets such as internet photographs and generative AI content remain limited to 8-bit l…
Instruction-based Image Manipulation by Watching How Things Move
Mingdeng Cao, Xuaner Zhang, Yinqiang Zheng +1
This paper introduces a novel dataset construction pipeline that samples pairs of frames from videos and uses multimodal large language models (MLLMs) to generate editing instructi…
Explorative Inbetweening of Time and Space
Haiwen Feng, Zheng Ding, Zhihao Xia +4
We introduce bounded generation as a generalized task to control video generation to synthesize arbitrary camera and subject motion based only on a given start and end frame. Our o…
Magic Fixup: Streamlining Photo Editing by Watching Dynamic Videos
Hadi Alzayer, Zhihao Xia, Xuaner Zhang +3
We propose a generative model that, given a coarsely edited image, synthesizes a photorealistic output that follows the prescribed layout. Our method transfers fine details from th…
Restoration by Generation with Constrained Priors
Zheng Ding, Xuaner Zhang, Zhuowen Tu +1
The inherent generative power of denoising diffusion models makes them well-suited for image restoration tasks where the objective is to find the optimal high-quality image within…