22 citations · 44 across the 11 of their papers we have counts for
7 papers · 1 filter
Vid2Actor: Free-viewpoint Animatable Person Synthesis from Video in the Wild
Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman
Given an "in-the-wild" video of a person, we reconstruct an animatable model of the person in the video. The output model can be rendered in any body pose to any camera view, via t…
No Shadow Left Behind: Removing Objects and their Shadows using Approximate Lighting and Geometry
Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen +1
Removing objects from images is a challenging problem that is important for many applications, including mixed reality. For believable results, the shadows that the object casts sh…
Real-Time High-Resolution Background Matting
Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta +3
We introduce a real-time, high-resolution background replacement technique which operates at 30fps in 4K resolution, and 60fps for HD on a modern GPU. Our technique is based on bac…
Animating Pictures with Eulerian Motion Fields
Aleksander Holynski, Brian Curless, Steven M. Seitz +1
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with continuous fluid motion, such as…
Reconstructing NBA Players
Luyang Zhu, Konstantinos Rematas, Brian Curless +2
Great progress has been made in 3D body pose and shape estimation from a single photo. Yet, state-of-the-art results still suffer from errors due to challenging body poses, modelin…
People as Scene Probes
Yifan Wang, Brian Curless, Steve Seitz
By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera…