Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...
In our interactive feature on small spaces, we showcased storage tips and lighting strategies through immersive 3D animations ...
One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency（CVPR highlight 2025）
This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...
Abstract: Realizing unified 3D object detection, including both indoor and outdoor scenes, holds great importance in applications like robot navigation. However, involving various scenarios of data to ...
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation
[2024/12] Code release: Inferece, Diffusion sampling, Pretrained model. [2024/10] DifFUSER is presented at ECCV 2024. [2024/07] DifFUSER is accepted by ECCV 2024. This repository contains the official ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback