Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning

Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning

23 April 2025

Ming-Ming Cheng

Papers citing "Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning"

10 / 10 papers shown

Title
Matching Anything by Segmenting Anything Siyuan Li Lei Ke Martin Danelljan Luigi Piccinelli Mattia Segu Luc Van Gool Fisher Yu VOS 63 22 0 06 Jun 2024
GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions Jiemin Fang Junjie Wang Xiaopeng Zhang Lingxi Xie Qi Tian 3DGS DiffM 57 111 0 27 Nov 2023
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 172 2,789 0 25 Aug 2022
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion Rinon Gal Yuval Alaluf Yuval Atzmon Or Patashnik Amit H. Bermano Gal Chechik Daniel Cohen-Or 71 1,837 0 02 Aug 2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li Zhe Lin Kun Zhou Lu Qi Yi Wang Jiaya Jia 49 312 0 29 Mar 2022
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron B. Mildenhall Dor Verbin Pratul P. Srinivasan Peter Hedman 102 1,659 0 23 Nov 2021
CLIPScore: A Reference-free Evaluation Metric for Image Captioning Jack Hessel Ari Holtzman Maxwell Forbes Ronan Le Bras Yejin Choi CLIP 65 1,512 0 18 Apr 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 57 1,945 0 24 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 236 6,293 0 26 Nov 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 241 17,550 0 19 Jun 2020