activity
20242026
most citedOrgan-Agents: Virtual Human Physiology Simulator via LLMs

1 citations · 1 across the 4 of their papers we have counts for

collaborators

7 papers

cs.CV2026

PoInit-of-View: Poisoning Initialization of Views Transfers Across Multiple 3D Reconstruction Systems

Weijie Wang, Songlong Xing, Zhengyu Zhao +2

Poisoning input views of 3D reconstruction systems has been recently studied. However, we identify that existing studies simply backpropagate adversarial gradients through the 3D r…

cs.LG20251 cited

Organ-Agents: Virtual Human Physiology Simulator via LLMs

Rihao Chang, He Jiao, Weizhi Nie +13

Recent advances in large language models (LLMs) have enabled new possibilities in simulating complex physiological systems. We introduce Organ-Agents, a multi-agent framework that…

cs.CV2025

FreeInsert: Disentangled Text-Guided Object Insertion in 3D Gaussian Scene without Spatial Priors

Chenxi Li, Weijie Wang, Qiang Li +3

Text-driven object insertion in 3D scenes is an emerging task that enables intuitive scene editing through natural language. However, existing 2D editing-based methods often rely o…

cs.CV2025

Causal Disentanglement for Robust Long-tail Medical Image Generation

Weizhi Nie, Zichun Zhang, Weijie Wang +3

Counterfactual medical image generation effectively addresses data scarcity and enhances the interpretability of medical images. However, due to the complex and diverse pathologica…

cs.CV2025

ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models for High-Definition Synthesis

Andrea Rigo, Luca Stornaiuolo, Mauro Martino +2

Diffusion models have revolutionized text-to-image (T2I) synthesis, producing high-quality, photorealistic images. However, they still struggle to properly render the spatial relat…

cs.CV2025

Fully-Geometric Cross-Attention for Point Cloud Registration

Weijie Wang, Guofeng Mei, Jian Zhang +3

Point cloud registration approaches often fail when the overlap between point clouds is low due to noisy point correspondences. This work introduces a novel cross-attention mechani…