Junting Dong

16

Papers

57

Total Citations

Papers (16)

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model

DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters

Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes

GAS: Generative Avatar Synthesis from a Single Image

ARMO: Autoregressive Rigging for Multi-Category Objects

Reconstructing 3D Human Pose by Watching Humans in the Mirror

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation

iVS-Net: Learning Human View Synthesis from Internet Videos

Motion Capture from Internet Videos

EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion

SIGMAN: Scaling 3D Human Gaussian Generation with Millions of Assets

Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data

Capturing Closely Interacted Two-Person Motions with Reaction Priors

Fast and Robust Multi-Person 3D Pose Estimation From Multiple Views

TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies