AGE: Agentic Gaussian Editing in 3D Scenarios
Jun 24, 2026·
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1 min read
秦皓
Tesi Lin
Mingwei Wei
Yukai Sun
Mengxu Lu
Ming Kong
Qiang Zhu
Abstract
AGE is a multi-agent framework for continual and flexible 3D Gaussian editing. It decomposes complex user goals into modular editing skills, maintains structured memory for multi-turn interaction, supports backtracking, and grounds planning and reflection in 3D perceptual analysis.
Type
Publication
European Conference on Computer Vision
Accepted by ECCV 2026.
Authors
Ph.D. Student at Zhejiang University
I am a Ph.D. student in the College of Computer Science and Technology at Zhejiang University. My research focuses on spatial intelligence, 3D-AIGC, multi-agent systems, latent reasoning for VLMs, and contrastive learning, with a broader interest in building intelligent systems that connect perception, reasoning, and controllable creation in the world.
Email: haoqin@zju.edu.cn