activity
20232026
most citedGenRC: Generative 3D Room Completion from Sparse Image Collections

1 citations · 2 across the 18 of their papers we have counts for

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9 papers · 1 filter

cs.CV2024

V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations

Jin-Cheng Jhang, Tao Tu, Fu-En Wang +3

The field of indoor monocular 3D object detection is gaining significant attention, fueled by the increasing demand in VR/AR and robotic applications. However, its advancement is i…

cs.CV2024★ 1 cited

Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors

Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka +6

3D object generation from a single image involves estimating the full 3D geometry and texture of unseen views from an unposed RGB image captured in the wild. Accurately reconstruct…

cs.RO2024

Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting

Joey Wilson, Marcelino Almeida, Min Sun +6

In this paper, we present a novel algorithm for probabilistically updating and rasterizing semantic maps within 3D Gaussian Splatting (3D-GS). Although previous methods have introd…

cs.RO2024

Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation

Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka +4

This paper presents a method for generating large-scale datasets to improve class-agnostic video segmentation across robots with different form factors. Specifically, we consider t…

cs.CV2024★ 1 cited

GenRC: Generative 3D Room Completion from Sparse Image Collections

Ming-Feng Li, Yueh-Feng Ku, Hong-Xuan Yen +5

Sparse RGBD scene completion is a challenging task especially when considering consistent textures and geometries throughout the entire scene. Different from existing solutions tha…

cs.CV2024

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning

Ray Zhang, Zheming Zhou, Min Sun +5

This paper introduces a robust unsupervised SE(3) point cloud registration method that operates without requiring point correspondences. The method frames point clouds as functions…

cs.CV2024

CSCPR: Cross-Source-Context Indoor RGB-D Place Recognition

Jing Liang, Zhuo Deng, Zheming Zhou +5

We extend our previous work, PoCo, and present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval…

cs.CV2024

No More Ambiguity in 360° Room Layout via Bi-Layout Estimation

Yu-Ju Tsai, Jin-Cheng Jhang, Jingjing Zheng +5

Inherent ambiguity in layout annotations poses significant challenges to developing accurate 360° room layout estimation models. To address this issue, we propose a novel Bi-Layout…

cs.CV2024

PoCo: Point Context Cluster for RGBD Indoor Place Recognition

Jing Liang, Zhuo Deng, Zheming Zhou +5

We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference da…