arXiv Computer Vision
EditVerse3D: High-Quality 3D Object Editing with Region-Aware Learning
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TASE: Truncation-Aware Semantic Embeddings for 3D Scene Understanding and Editing
TASE introduces a truncation‑aware embedding space that projects pretrained 2D semantic features into 3D scene representations, allowing flexible and controllable editing. The method optimizes feature channels so that fewer channels yield abstract semantics while more channels preserve detail, and it enforces multi‑view consistency with a scale‑ and translation‑equivariant loss. A finetuning stage for the editing diffusion model further reduces artifacts from geometric changes, achieving competitive performance and outperforming prior methods on large‑scale geometric edits.