Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …

We present GaussianAvatar an efficient approach to creating realistic human avatars with
dynamic 3D appearances from a single video. We start by introducing animatable 3D …

The estimation of 3D human motion from video has progressed rapidly but current methods
still have several key limitations. First most methods estimate the human in camera …

We propose Lodge a network capable of generating extremely long dance sequences
conditioned on given music. We design Lodge as a two-stage coarse to fine diffusion …

We propose Lodge++, a choreography framework to generate high-quality, ultra-long, and
vivid dances given the music and desired genre. To handle the challenges in computational …

Estimating 3D motion from 2D observations is a long-standing research challenge. Prior
work typically requires training on datasets containing ground truth 3D motions, limiting their …