UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...

Adverse weather conditions such as snow, fog, and rain pose significant challenges to LiDAR-based perception models by introducing noise and corrupting point cloud measurements. To address this issue, ...

Microsoft has launched Copilot 3D, a new experimental feature that generates 3D models directly from 2D images. Released on August 8, 2025, the tool is available for free to all signed-in users via ...

Microsoft has just launched an experimental Copilot 3D tool that can transform a static image into a 3D model. The AI-powered web app is available for select users via Microsoft’s Copilot Labs portal, ...

Abstract: The use of scenes captured from multiple photos or videos for 3D reconstruction is a hot topic in the fields of image and vision. At present, 3D Gaussian Splatting(3D-GS) [1] represents ...

Roblox announced Monday that it’s launching the first iteration of its 3D model, dubbed “Cube,” to allow creators to create 3D objects using generative AI. The company also launched an open source ...

Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...

Abstract: Point clouds have increasingly become the preferred representation for various visual and graphical applications. Denoising diffusion probability models (DDPMs) have demonstrated remarkable ...

The process of creating 3D models from 2D images has traditionally been associated with expensive software and advanced technical skills. However, Trellis, a free AI-powered tool, has transformed this ...