most citedLearning to Refocus with Video Diffusion Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Linear Image Generation by Synthesizing Exposure Brackets

Yuekun Dai, Zhoutong Zhang, Shangchen Zhou +1

The life of a photo begins with photons striking the sensor, whose signals are passed through a sophisticated image signal processing (ISP) pipeline to produce a display-referred i…

cs.CV2026

Lucky High Dynamic Range Smartphone Imaging

Baiang Li, Ruyu Yan, Ethan Tseng +4

While the human eye can perceive an impressive twenty stops of dynamic range, smartphone camera sensors remain limited to about twelve stops despite decades of research. A variety…

cs.CV2026

DA-VAE: Plug-in Latent Compression for Diffusion via Detail Alignment

Xin Cai, Zhiyuan You, Zhoutong Zhang +1

Reducing token count is crucial for efficient training and inference of latent diffusion models, especially at high resolution. A common strategy is to build high-compression image…

cs.CV20251 cited

Learning to Refocus with Video Diffusion Models

SaiKiran Tedla, Zhoutong Zhang, Xuaner Zhang +1

Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a nov…

cs.CV2025

Generative Video Motion Editing with 3D Point Tracks

Yao-Chih Lee, Zhoutong Zhang, Jiahui Huang +5

Camera and object motions are central to a video's narrative. However, precisely editing these captured motions remains a significant challenge, especially under complex object mov…

cs.CV2025

PhotoFramer: Multi-modal Image Composition Instruction

Zhiyuan You, Ke Wang, He Zhang +5

Composition matters during the photo-taking process, yet many casual users struggle to frame well-composed images. To provide composition guidance, we introduce PhotoFramer, a mult…