activity
20232026
most citedLearning to Refocus with Video Diffusion Models

1 citations · 1 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Parallax Portrait Matting

Xin Cai, Jiawen Chen, Lars Jebe +2

Image matting is highly ill-posed, especially when both the foreground and background are richly textured. While single-image matting methods learn strong priors from data, they of…

cs.CV2026

Hist2Style: Histogram-Guided Stylization with Bilateral Grids

Dekel Galor, Adam Pikielny, Zhoutong Zhang +4

Photorealistic style transfer aims to match the color and tone of an input image to that of a style target while preserving the content and details of the original scene. Although…

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.CV2025★ 1 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…

cs.CV2025

Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable

Xin Jin, Simon Niklaus, Zhoutong Zhang +5

Denoising is a crucial step in many video processing pipelines such as in interactive editing, where high quality, speed, and user control are essential. While recent approaches ac…

cs.CV2023

DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos

Arjun Balasingam, Joseph Chandler, Chenning Li +2

This paper presents DriveTrack, a new benchmark and data generation framework for long-range keypoint tracking in real-world videos. DriveTrack is motivated by the observation that…

cs.CV2023

Fast View Synthesis of Casual Videos with Soup-of-Planes

Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen +4

Novel view synthesis from an in-the-wild video is difficult due to challenges like scene dynamics and lack of parallax. While existing methods have shown promising results with imp…