In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

Reconstructing dynamic objects from monocular videos is a severely underconstrained and
challenging problem and recent work has approached it in various directions. However …

Diffusion models usher a new era of video editing, flexibly manipulating the video contents
with text prompts. Despite the widespread application demand in editing human-centered …

Reconstructing models of the real world, including 3D geometry, appearance, and motion of
real scenes, is essential for computer graphics and computer vision. It enables the …

Recent advances in 3D-aware GAN models have enabled the generation of realistic and
controllable human body images. However, existing methods focus on the control of major …

Despite recent progress in diffusion-based video editing existing methods are limited to
short-length videos due to the contradiction between long-range consistency and frame …

We present IntrinsicAvatar a novel approach to recovering the intrinsic properties of clothed
human avatars including geometry albedo material and environment lighting from only …

Abstract We introduce Exo2Ego-V, a novel exocentric-to-egocentric diffusion-based video
generation method for daily-life skilled human activities where sparse 4-view exocentric …

Reconstructing human-object interaction in 3D from a single RGB image is a challenging
task and existing data driven methods do not generalize beyond the objects present in the …

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories
in generated videos. However, these methods cannot be directly applied to user-provided …