33 citations · 50 across the 11 of their papers we have counts for
12 papers
DreamUV: Unwrap Artist-like UV by End-to-End Flow Matching
Quanyuan Ruan, Jiabao Lei, Xingyi Du +1
UV parameterization is a fundamental step in 3D content creation, yet producing production-ready UV layouts remains challenging due to the gap between geometric distortion objectiv…
ARGS: Auto-Regressive Gaussian Splatting via Parallel Progressive Next-Scale Prediction
Quanyuan Ruan, Kewei Shi, Jiabao Lei +2
Auto-regressive frameworks for next-scale prediction of 2D images have demonstrated strong potential for producing diverse and sophisticated content by progressively refining a coa…
ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
Jiabao Lei, Kewei Shi, Zhihao Liang +1
Directly generating 3D meshes, the default representation for 3D shapes in the graphics industry, using auto-regressive (AR) models has become popular these days, thanks to their s…
SceneLCM: End-to-End Layout-Guided Interactive Indoor Scene Generation with Latent Consistency Model
Yangkai Lin, Jiabao Lei, Kui Jia
Our project page: https://scutyklin.github.io/SceneLCM/. Automated generation of complex, interactive indoor scenes tailored to user prompt remains a formidable challenge. While ex…
Multi-StyleGS: Stylizing Gaussian Splatting with Multiple Styles
Yangkai Lin, Jiabao Lei, Kui jia
In recent years, there has been a growing demand to stylize a given 3D scene to align with the artistic style of reference images for creative purposes. While 3D Gaussian Splatting…
Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions
Quanyuan Ruan, Jiabao Lei, Wenhao Yuan +4
Differentiable rendering has gained significant attention in the field of robotics, with differentiable robot rendering emerging as an effective paradigm for learning robotic actio…
RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
Jiabao Lei, Jiapeng Tang, Kui Jia
We address the challenge of recovering an underlying scene geometry and colors from a sparse set of RGBD view observations. In this work, we present a new solution termed RGBD…
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei +2
Creation of 3D content by stylization is a promising yet challenging problem in computer vision and graphics research. In this work, we focus on stylizing photorealistic appearance…
Learning and Meshing from Deep Implicit Surface Networks Using an Efficient Implementation of Analytic Marching
Jiabao Lei, Kui Jia, Yi Ma
Reconstruction of object or scene surfaces has tremendous applications in computer vision, computer graphics, and robotics. In this paper, we study a fundamental problem in this co…
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks
Jiapeng Tang, Jiabao Lei, Dan Xu +3
Surface reconstruction from point clouds is a fundamental problem in the computer vision and graphics community. Recent state-of-the-arts solve this problem by individually optimiz…
Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction from Raw Point Clouds
Wenbin Zhao, Jiabao Lei, Yuxin Wen +2
Shape modeling and reconstruction from raw point clouds of objects stand as a fundamental challenge in vision and graphics research. Classical methods consider analytic shape prior…
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei, Kui Jia
This paper studies a problem of learning surface mesh via implicit functions in an emerging field of deep learning surface reconstruction, where implicit functions are popularly im…