AGE: Agentic Gaussian Editing in 3D Scenarios
Jun 24, 2026·
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1 min read
Hao Qin
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. The PDF will be updated to the camera-ready version after release.
Authors
Ph.D. Student in Artificial Intelligence
I am a Ph.D. student in the College of Computer Science and Technology at
Zhejiang University. My research focuses on 3D vision, 3D Gaussian Splatting,
3D-AIGC, and multi-agent systems, with broader interests in self-supervised
representation learning and embodied visual content creation.