computer-vision-7

3D scene Editing

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

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

Fan Yang, Zhoujie Fu, Guosheng Lin, Youtan Yin•Tue May 16 2023

A novel object-removing pipeline is proposed, named OR-NeRF, that can remove objects from 3D scenes with user-given points or text prompts on a single view, achieving better performance in less time than previous works.

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

Guanbin Li, Lingjie Liu, Chen Wang, Jingyu Zhuang, Liang Lin•Thu Jun 22 2023

This paper proposes DreamEditor, a novel framework that enables users to perform controlled editing of neural fields using text prompts by representing scenes as mesh-based neural fields, and generates highly realistic textures and geometry.

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Language-driven Scene Synthesis using Multi-conditional Diffusion Model

Dzung Nguyen, T. Vo, Anh Nguyen, An Vuong, Baoru Huang, M. Vu, Toan Nguyen•Mon Oct 23 2023

This paper proposes a language-driven scene synthesis task, which is a new task that integrates text prompts, human motion, and existing objects for scene synthesis by explicitly predicting the guiding points for the original data distribution in a multi-conditional diffusion model.

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LatentEditor: Text Driven Local Editing of 3D Scenes

Nazmul Karim, Umar Khalid, Hasan Iqbal, Jingyi Hua, Chen Chen•Wed Dec 13 2023

This paper introduces \textsc{LatentEditor}, an innovative framework designed to empower users with the ability to perform precise and locally controlled editing of neural fields using text prompts, and introduces a delta score to calculate the 2D mask in the latent space that serves as a guide for local modifications while preserving irrelevant regions.

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

Haodong Chen, Yongle Huang, Haojian Huang, Xiangsheng Ge, Dian Shao•Sun May 12 2024

GaussianVTON is proposed, an innovative 3D VTON pipeline integrating Gaussian Splatting (GS) editing with 2D VTON, and a new editing strategy termed Edit Recall Reconstruction (ERR) is introduced to tackle the limitations of previous editing strategies in leading to complex geometric changes.

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