236 citations · 604 across the 49 of their papers we have counts for
9 papers · 1 filter
Dance In the Wild: Monocular Human Animation with Neural Dynamic Appearance Synthesis
Tuanfeng Y. Wang, Duygu Ceylan, Krishna Kumar Singh +1
Synthesizing dynamic appearances of humans in motion plays a central role in applications such as AR/VR and video editing. While many recent methods have been proposed to tackle th…
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
Youngjoong Kwon, Dahun Kim, Duygu Ceylan +1
In this paper, we aim at synthesizing a free-viewpoint video of an arbitrary human performance using sparse multi-view cameras. Recently, several works have addressed this problem…
Contact-Aware Retargeting of Skinned Motion
Ruben Villegas, Duygu Ceylan, Aaron Hertzmann +2
This paper introduces a motion retargeting method that preserves self-contacts and prevents interpenetration. Self-contacts, such as when hands touch each other or the torso or the…
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan +3
Representing human-made objects as a collection of base primitives has a long history in computer vision and reverse engineering. In the case of high-resolution point cloud scans,…
Stochastic Scene-Aware Motion Prediction
Mohamed Hassan, Duygu Ceylan, Ruben Villegas +4
A long-standing goal in computer vision is to capture, model, and realistically synthesize human behavior. Specifically, by learning from data, our goal is to enable virtual humans…
CurveFusion: Reconstructing Thin Structures from RGBD Sequences
Lingjie Liu, Nenglun Chen, Duygu Ceylan +3
We introduce CurveFusion, the first approach for high quality scanning of thin structures at interactive rates using a handheld RGBD camera. Thin filament-like structures are mathe…