activity
20182026
most citedHuman101: Training 100+FPS Human Gaussians in 100s from 1 View

3 citations · 13 across the 26 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.AI2025

Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems

Mingwei Li, Xiaoyuan Zhang, Chengwei Yang +2

Model-based planning in robotic domains is challenged by the hybrid nature of physical dynamics, where continuous motion is punctuated by discrete events such as contacts and impac…

cs.CV2025

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment

Dewei Zhou, Mingwei Li, Zongxin Yang +5

Conditional image generation enhances text-to-image synthesis with structural, spatial, or stylistic priors, but current methods face challenges in handling conflicts between sourc…

cs.HC2025

AlloyLens: A Visual Analytics Tool for High-throughput Alloy Screening and Inverse Design

Suyang Li, Fernando Fajardo-Rojas, Diego Gomez-Gualdron +2

Designing multi-functional alloys requires exploring high-dimensional composition-structure-property spaces, yet current tools are limited to low-dimensional projections and offer…

cs.CV2025

DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models

Dewei Zhou, Mingwei Li, Zongxin Yang +1

Image-conditioned generation methods, such as depth- and canny-conditioned approaches, have demonstrated remarkable abilities for precise image synthesis. However, existing models…

cs.CV2025

TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors

Mingwei Li, Pu Pang, Hehe Fan +2

Reconstructing transparent surfaces is essential for tasks such as robotic manipulation in labs, yet it poses a significant challenge for 3D reconstruction techniques like 3D Gauss…

cs.CL2025

Iterative Tree Analysis for Medical Critics

Zenan Huang, Mingwei Li, Zheng Zhou +1

Large Language Models (LLMs) have been widely adopted across various domains, yet their application in the medical field poses unique challenges, particularly concerning the genera…