3d-editing

EditHero is the first benchmark for long-horizon, part-level 3D editing with natural-language instructions and target images, comparing non-agentic regeneration methods against LLM/VLM agents that edit meshes via code. Non-agentic methods often miss requested changes and disturb fixed regions, while LLM agents follow instructions better and preserve unedited parts, at the cost of slower edits.

This paper introduces a feed-forward 3D editing framework that uses generative prior distillation from foundation models to avoid paired training data, improving instruction fidelity and cross-view consistency.

Hunyuan3D-Buffalo 1.0 is a unified multimodal model for 3D generation, understanding, and editing, trained on an 87M-scale 3D multimodal corpus. It combines Hunyuan3D-VLM and Hunyuan3D-DiT to achieve state-of-the-art performance on text-to-3D generation and 3D editing benchmarks.

Online 3D Editor is a web-based tool that provides Blender-style 3D editing capabilities directly in the browser.