A PyTorch Library for Accelerating 3D Deep Learning Research
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).
#计算机科学#pyntcloud is a Python library for working with 3D point clouds.
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
[ECCV'20] Convolutional Occupancy Networks
#计算机科学#3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
Fuse multiple depth frames into a TSDF voxel volume.
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) fr...
#计算机科学#[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
#计算机科学#A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
#计算机科学#Pytorch code to construct a 3D point cloud model from single RGB image.
KITTI data processing and 3D CNN for Vehicle Detection
#计算机科学#3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
[CVPR'23] Learning Neural Parametric Head Models
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
Research platform for 3D object detection in PyTorch.
[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection
[AAAI'20] LCD: Learned Cross-Domain Descriptors for 2D-3D Matching