activity
20242026
most citedPhys4DGen: Physics-Compliant 4D Generation with Multi-Material Composition Perception

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

collaborators

5 papers

cs.CV2026

NeuIDO: Neural Intrinsic Dynamics Operator for Physics-Informed 4D World Models

Jiajing Lin, Xin Zhang, Jianhua Sun

World models aim to capture environmental dynamics and predict future trajectories, showing growing potential for embodied intelligence. Physics-informed 4D generation integrates p…

cs.CR2025

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems

Qingyuan Zeng, Shu Jiang, Jiajing Lin +3

With the rise of 3D Gaussian Splatting (3DGS), a variety of digital watermarking techniques, embedding either 1D bitstreams or 2D images, are used for copyright protection. However…

cs.AI2024

Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusion

Tao Zhou, Kai Ye, Zeyu Shi +3

Numerous remarkable advancements have been made in accuracy, speed, and parallelism for solving the Unmanned Aerial Vehicle Route Planing (UAVRP). However, existing UAVRP solvers f…

cs.CV2024★ 1 cited

Phys4DGen: Physics-Compliant 4D Generation with Multi-Material Composition Perception

Jiajing Lin, Zhenzhong Wang, Dejun Xu +3

4D content generation aims to create dynamically evolving 3D content that responds to specific input objects such as images or 3D representations. Current approaches typically inco…

cs.CV2024

Phy124: Fast Physics-Driven 4D Content Generation from a Single Image

Jiajing Lin, Zhenzhong Wang, Yongjie Hou +2

4D content generation focuses on creating dynamic 3D objects that change over time. Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling proces…