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20202026
most citedTANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition

33 citations · 50 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025★ 2 cited

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…

cs.CV2022

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…

cs.CV2022★ 33 cited

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2020★ 5 cited

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…

cs.CV2020★ 10 cited

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…