We introduce DragAPart, a method that, given an image and a set of drags as input,
generates a new image of the same object that responds to the action of the drags …

Synthesizing multi-view 3D from one single image is a significant but challenging task. Zero-
1-to-3 methods have achieved great success by lifting a 2D latent diffusion model to the 3D …

We present a method to build animatable dog avatars from monocular videos. This is
challenging as animals display a range of (unpredictable) non-rigid movements and have a …

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 …

Tracking human object interaction from videos is important to understand human behavior
from the rapidly growing stream of video data. Previous video-based methods require …

Many classical parametric 3D shape models exist, but creating novel shapes with such
models requires expert knowledge of their parameters. For example, imagine creating a …

We present Puppet-Master, an interactive video generative model that can serve as a motion
prior for part-level dynamics. At test time, given a single image and a sparse set of motion …

In recent years, 3D parametric animal models have been developed to aid in estimating 3D
shape and pose from images and video. While progress has been made for humans, it's …

We present DreamBeast, a novel method based on score distillation sampling (SDS) for
generating fantastical 3D animal assets composed of distinct parts. Existing SDS methods …

3D modeling of articulated objects is a research problem within computer vision, graphics,
and robotics. Its objective is to understand the shape and motion of the articulated …