The need to model visual information with compact representations has existed since the early days of computer vision. We implemented in the past a segmentation and model recovery method for range ...

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 ...

🔭 Introduction TL;DR: FreeReg extracts cross-modality features from pretrained diffusion models and monocular depth estimators for accurate zero-shot image-to-point cloud registration. Abstract: ...

Denoising 3D point cloud strives to remove noise from noisy data. Existing methods address the problem by estimating point-wise displacement from the point feature or by learning the distribution of ...

Copilot 3D will turn your 2D images into 3D models. The tool is freely available to anyone, though you do need a Microsoft account. Microsoft suggests using an image with a single subject, even ...