We propose a new neural point cloud rendering method by combining point cloud multi-plane projection and NeRF[ 12 ]. Existing point-based rendering methods often rely on the high-quality geometry of point clouds. Meanwhile, NeRF and its extensions usually query the RGB and volume density of ...
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency [det; Github] Rotation-Invariant Transformer for Point Cloud Matching [matching] Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields [rendering] Frequency-Modulated Point Cloud Render...
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering Mohamed El Banani Luya Gao Justin Johnson University of Michigan {mbanani, mlgao, justincj}@umich.edu Abstract Aligning partial views of a scene into a single whole is essential to u...
[CVPR] 3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder. [git] [reg.] [CVPR] Multi-View 3D Object Detection Network for Autonomous Driving. [tensorflow] [det. aut.] 🔥 ⭐ [CVPR] 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions....
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3.4. 2D Image Rendering and 3D Reconstructions After the creation of the virtual 3D environment, the subsequent phase in our pipeline focuses on the generation of point cloud data. While straightforward techniques like direct random sampling from 3D objects or employing ray casting methods with predet...
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields [rendering] Frequency-Modulated Point Cloud Rendering with Easy Editing [rendering; PyTorch] Meta Architecure for Point Cloud Analysis [seg, cls; PyTorch] ULIP: Learning Unified Representation of Language, Image and Point Cloud...
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields [rendering] Point2Vec for Self-Supervised Representation Learning on Point Clouds [self-supervised; Project] DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking [det, tracking; Github...
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration [registration; Github] SimpleRecon: 3D Reconstruction Without 3D Convolutions [reconstruction; Project] Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation [registration; Githu...
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields [rendering] Frequency-Modulated Point Cloud Rendering with Easy Editing [rendering; PyTorch] Meta Architecure for Point Cloud Analysis [seg, cls; PyTorch] ULIP: Learning Unified Representation of Language, Image and Point Cloud...