1 citations · 1 across the 5 of their papers we have counts for
6 papers
Monocular Depth Estimation from a Single Image: Progress and Opportunities
Muxin Liu, Xiaoyang Lyu, Yang-Tian Sun +4
Monocular depth estimation has long stood as a fundamental challenge in computer vision, enabling a wide range of applications including 3D reconstruction, robotics, autonomous dri…
OptiGeo: Efficient Monocular Geometry for Embodied Perception in Optically Challenging Scenes
Muxin Liu, Tianbo Liu, Jing Xia +7
Monocular depth estimation has achieved strong open-domain generalization, yet reliable robotic deployment remains difficult in transparent, reflective, and specular environments,…
FoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry
Muxin Liu, Xiaoyang Lyu, Tianhe Ren +7
We present FoundationGeo, a two-stage framework that explicitly bridges relative and metric prediction via spatial calibration and principled data design. Stage 1 learns a high-fid…
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling
Dong Huo, Zixin Guo, Xinxin Zuo +6
Given a 3D mesh, we aim to synthesize 3D textures that correspond to arbitrary textual descriptions. Current methods for generating and assembling textures from sampled views often…
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction
Yuxuan Mu, Xinxin Zuo, Chuan Guo +7
We present GSD, a diffusion model approach based on Gaussian Splatting (GS) representation for 3D object reconstruction from a single view. Prior works suffer from inconsistent 3D…
Generative Human Motion Stylization in Latent Space
Chuan Guo, Yuxuan Mu, Xinxin Zuo +4
Human motion stylization aims to revise the style of an input motion while keeping its content unaltered. Unlike existing works that operate directly in pose space, we leverage the…