Papers with Code 아카이브

3D scene Editing

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

1

보존된 평가 기록

1

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Fangkang515/CE3D

공식 코드

Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts

https://github.com/Jumponthemoon/WeatherEdit

공식 코드

WeatherEdit: Controllable Weather Editing with 4D Gaussian Field

https://github.com/ShijieZhou-UCLA/feature-3dgs

공식 코드

Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

https://github.com/cuteyyt/or-nerf

공식 코드

OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields

https://github.com/kaist-cvml-lab/DreamCatalyst

공식 코드

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

https://github.com/kaist-cvml/dreamcatalyst

공식 코드

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

https://github.com/nazmul-karim170/Free-Editor

공식 코드

Free-Editor: Zero-shot Text-driven 3D Scene Editing

https://github.com/umarkhalidAI/LatentEditor

공식 코드

LatentEditor: Text Driven Local Editing of 3D Scenes

https://github.com/wjakubowska/neuralsurfacepriors

공식 코드

Neural Surface Priors for Editable Gaussian Splatting

https://github.com/zjy526223908/dreameditor

공식 코드

DreamEditor: Text-Driven 3D Scene Editing with Neural Fields

https://github.com/HaroldChen19/GaussianVTON

GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting

https://github.com/keloee/maskfield

Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.