Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

Given two images depicting a person and a garment worn by another person, our goal is to
generate a visualization of how the garment might look on the input person. A key challenge …

Estimating 3D humans from images often produces implausible bodies that lean, float, or
penetrate the floor. Such methods ignore the fact that bodies are typically supported by the …

Humans are able to recognize structured relations in observation, allowing us to decompose
complex scenes into simpler parts and abstract the visual world in multiple levels. However …

Generating expressive talking heads is essential for creating virtual humans. However,
existing one-or few-shot methods focus on lip-sync and head motion, ignoring the emotional …

While the accuracy of 3D human pose estimation from images has steadily improved on
benchmark datasets, the best methods still fail in many real-world scenarios. This suggests …

Human parsing aims to partition humans in image or video into multiple pixel-level semantic
parts. In the last decade, it has gained significantly increased interest in the computer vision …

Labeling pixel-level masks for fine-grained semantic segmentation tasks, eg, human
parsing, remains a challenging task. The ambiguous boundary between different semantic …

We present a new point-based approach for modeling the appearance of real scenes. The
approach uses a raw point cloud as the geometric representation of a scene, and augments …

Understanding how humans use physical contact to interact with the world is key to enabling
human-centric artificial intelligence. While inferring 3D contact is crucial for modeling …