1.1k citations · 2k across the 68 of their papers we have counts for
13 papers · 2 filters
Populating 3D Scenes by Learning Human-Scene Interaction
Mohamed Hassan, Partha Ghosh, Joachim Tesch +2
Humans live within a 3D space and constantly interact with it to perform tasks. Such interactions involve physical contact between surfaces that is semantically meaningful. Our goa…
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Yao Feng, Haiwen Feng, Michael J. Black +1
While current monocular 3D face reconstruction methods can recover fine geometric details, they suffer several limitations. Some methods produce faces that cannot be realistically…
We are More than Our Joints: Predicting how 3D Bodies Move
Yan Zhang, Michael J. Black, Siyu Tang
A key step towards understanding human behavior is the prediction of 3D human motion. Successful solutions have many applications in human tracking, HCI, and graphics. Most previou…
GIF: Generative Interpretable Faces
Partha Ghosh, Pravir Singh Gupta, Roy Uziel +3
Photo-realistic visualization and animation of expressive human faces have been a long standing challenge. 3D face modeling methods provide parametric control but generates unreali…
GRAB: A Dataset of Whole-Body Human Grasping of Objects
Omid Taheri, Nima Ghorbani, Michael J. Black +1
Training computers to understand, model, and synthesize human grasping requires a rich dataset containing complex 3D object shapes, detailed contact information, hand pose and shap…
Monocular Expressive Body Regression through Body-Driven Attention
Vasileios Choutas, Georgios Pavlakos, Timo Bolkart +2
To understand how people look, interact, or perform tasks, we need to quickly and accurately capture their 3D body, face, and hands together from an RGB image. Most existing method…