JointEdit3D: Feed-Forward 3D Scene Editing in a Unified Latent Space

· Source: Computer Vision and Pattern Recognition · Field: Technology & Digital — Artificial Intelligence & Machine Learning · Depth: Expert, quick

Summary

JointEdit3D is a novel framework designed for feed-forward 3D scene editing, addressing limitations of existing methods like high test-time costs and structural inconsistencies. This system leverages a unified RGB-geometry reconstruction-generation latent space to couple appearance synthesis and geometry prediction. JointEdit3D operates by performing asymmetric latent inpainting, observing a single edited RGB reference latent to generate additional RGB views and an edited geometry latent, all while maintaining source-scene anchoring. It incorporates a dedicated SceneAnchor Branch to inject structural information without direct copying and uses edit/background-aware losses for balanced fidelity and preservation. To facilitate evaluation, the authors introduce SceneEdit3D-15K, a dataset with 15,000 paired editing samples, and SceneEdit3D-Bench, a 100-sample benchmark. Experiments demonstrate JointEdit3D's superior edited-region quality and 3D structural completeness compared to prior baselines, alongside competitive background preservation.

Key takeaway

For Computer Vision Engineers developing 3D scene editing applications, JointEdit3D offers a significant advancement over traditional per-scene optimization. You should consider integrating this feed-forward, unified latent space approach to achieve faster test-time performance and superior 3D structural consistency in your edited scenes. Utilize the provided SceneEdit3D-15K dataset and SceneEdit3D-Bench for robust evaluation of your own or competing methods, ensuring high-quality results and efficient workflows.

Key insights

JointEdit3D enables feed-forward 3D scene editing by unifying RGB-geometry reconstruction and generation in a single latent space.

Principles

Method

Adapt a unified RGB-geometry latent space for feed-forward 3D scene editing. Perform asymmetric latent inpainting from a single edited RGB reference, generating remaining views and geometry latent with source-scene anchoring via a SceneAnchor Branch and specific losses.

In practice

Topics

Best for: Research Scientist, AI Scientist, Computer Vision Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Computer Vision and Pattern Recognition.