SoftwareApplication
name: Code supporting: NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits
description: Code supporting: NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits
description: Implicit surface representations are valued for their compactness and continuity, but they pose significant challenges for editing. Despite recent advancements, existing methods often fail to preserve identity and maintain geometric consistency during editing. To address these challenges, we present NeuSEditor, a novel method for text-guided editing of neural implicit surfaces derived from multi-view images. NeuSEditor introduces an identity-preserving architecture that efficiently separates scenes into foreground and background, enabling precise modifications without altering the scene-specific elements. Our geometry-aware distillation loss significantly enhances rendering and geometric quality. Our method simplifies the editing workflow by eliminating the need for continuous dataset updates and source prompting. NeuSEditor outperforms recent state-of-the-art methods like PDS and InstructNeRF2NeRF, delivering superior quantitative and qualitative results.
code repository: https://data.4tu.nl/v3/datasets/0305dab9-2827-41f3-af22-5e3593aa0bf9.git
author: 0000-0002-3252-121X
author: https://orcid.org/0000-0001-9919-0710
author: Person
  given name: Liangliang
  family name: Nan
  name: Liangliang Nan
keywords: diffusion models
keywords: 3D reconstruction
keywords: implicit geometry
keywords: generative AI
programming language: Markdown
programming language: Other
programming language: Python
programming language: YAML
license:
  creative work: creativeWork
    name: MIT

0000-0002-3252-121X
type: Person
given name: Nail
family name: Ibrahimli
name: Nail Ibrahimli

https://orcid.org/0000-0001-9919-0710
type: Person
given name: Julian
family name: Kooij
name: Julian Kooij