Despite recent research advancements in reconstructing clothed humans from a single
image, accurately restoring the “unseen regions” with high-level details remains an …

Generating personalized 3D avatars is crucial for AR/VR. However, recent text-to-3D
methods that generate avatars for celebrities or fictional characters, struggle with everyday …

We present LRM-Zero, a Large Reconstruction Model (LRM) trained entirely on synthesized
3D data, achieving high-quality sparse-view 3D reconstruction. The core of LRM-Zero is our …

Detailed human surface capture from multiple images is an essential component for many
3D production, analysis and transmission tasks. Yet producing millimetric precision 3D …

Derived from the mural drawings in the UNESCO-listed Mogao Caves, Dunhuang dance
has unique cultural value but faces challenges of digitization and preservation. In this paper …

In this paper, we present WonderHuman to reconstruct dynamic human avatars from a
monocular video for high-fidelity novel view synthesis. Previous dynamic human avatar …

Diffusion-based human animation aims to animate a human character based on a source
human image as well as driving signals such as a sequence of poses. Leveraging the …

In this work, we present UniG, a view-consistent 3D reconstruction and novel view synthesis
model that generates a high-fidelity representation of 3D Gaussians from sparse images …