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 ...
Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields [rendering] Frequency-Modulated Point Cloud Rendering with Easy Editing [rendering; PyTorch] ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding [cls; Github] Parameter is Not All You...
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] Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling. [code] [cls. seg.] [CVPR] FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation. [code] [cls.] [CVPR] Pointwise Convolutional Neural Networks. [tensorflow] [cls. seg.] [CVPR] PU-Net: Point Cloud...
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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...
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...