If you’ve ever tried learning Blender from scratch as I have, you know just how brutal the learning curve can be. I spent ...
A database of 2.75 billion buildings could help scientists to monitor urban planning, climate change, disaster risks and even ...
What if creating high-quality 3D models no longer required expensive software, specialized hardware, or years of expertise? Enter Meta’s SAM 3D, an open source AI tool that promises to provide ...
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 ...
Advancements in AI may feel a bit daunting, but this clever hack helps you harness the power of artificial intelligence in ...
SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...
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 ...
Abstract: In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between ...
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