Papers and Datasets about Point Cloud.
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Updated
Mar 18, 2023 - Python
Papers and Datasets about Point Cloud.
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Volumetric Human Teleportation (SIGGRAPH 2020 Real-Time Live) Monocular Real-Time Volumetric Performance Capture(ECCV 2020)
[CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion
FLaME: Fast Lightweight Mesh Estimation
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
[CVPR'21] MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP
Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020
ROS bindings for FLaME: Fast Lightweight Mesh Estimation.
This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.
Concurrent Mapping and Localization Library
Pytorch framework for supervised depth prediction
GNeuVox: Generalizable Neural Voxels for Fast Human Radiance Fields
Estimating the orientation and the relative dimensions of vehicles by producing a 3d bounding frame
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