activity
20232026
most citedMetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PALUM: Part-based Attention Learning for Unified Motion Retargeting

Siqi Liu, Maoyu Wang, Bo Dai +1

Retargeting motion between characters with different skeleton structures is a fundamental challenge in computer animation. When source and target characters have vastly different b…

cs.CV2026

SupScene: Scene-Structured Overlap Supervision for Image Retrieval in Unconstrained SfM

Xulei Shi, Maoyu Wang, Yuning Peng +5

Image retrieval is a critical step for reducing the quadratic cost of image matching in unconstrained Structure-from-Motion (SfM). Unlike generic image retrieval, however, the rele…

cs.CV2024

ViViD: Video Virtual Try-on using Diffusion Models

Zixun Fang, Wei Zhai, Aimin Su +7

Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise m…

cs.CV2024

Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors

Kuo Xu, Maoyu Wang, Muyu Wang +3

The recent advancements in 2D generation technology have sparked a widespread discussion on using 2D priors for 3D shape and texture content generation. However, these methods ofte…

cs.CV20232 cited

MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture

Lincong Feng, Muyu Wang, Maoyu Wang +2

Generative models for 3D object synthesis have seen significant advancements with the incorporation of prior knowledge distilled from 2D diffusion models. Nevertheless, challenges…