Synthesizing photo‐realistic images and videos is at the heart of computer graphics and has
been the focus of decades of research. Traditionally, synthetic images of a scene are …

We propose Neural Actor (NA), a new method for high-quality synthesis of humans from
arbitrary viewpoints and under arbitrary controllable poses. Our method is developed upon …

Coordinate-based volumetric representations have the potential to generate photo-realistic
virtual avatars from images. However, virtual avatars need to be controllable and be …

Real-time rendering of photorealistic and controllable human avatars stands as a
cornerstone in Computer Vision and Graphics. While recent advances in neural implicit …

Generating controllable and photorealistic digital human avatars is a long-standing and
important problem in Vision and Graphics. Recent methods have shown great progress in …

We propose a deep videorealistic 3D human character model displaying highly realistic
shape, motion, and dynamic appearance learned in a new weakly supervised way from …

We present the first end-to-end solution to create high-quality free-viewpoint video encoded
as a compact data stream. Our system records performances using a dense set of RGB and …

We propose a method for generating video-realistic animations of real humans under user
control. In contrast to conventional human character rendering, we do not require the …

Motivated by augmented and virtual reality applications such as telepresence, there has
been a recent focus in real-time performance capture of humans under motion. However …