370 Open source projects that are alternatives of or similar to Scan2Cap

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

Multi-Label Learning from Single Positive Labels - CVPR 2021

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！

🐝 Explore Trending Papers at CVPR

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Code for CVPR 2021 paper Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing

CVPR 2021 论文和开源项目合集

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

CVPR 2020 papers focusing on point cloud analysis

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Robotics with GPU computing

The PyTorch Implementation of F-ConvNet for 3D Object Detection

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Paperlist of awesome 3D detection methods

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Python binding of 3D visualization library Pangolin

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Neural Point-Based Graphics

Implementation of the Point Transformer layer, in Pytorch

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

Grid-GCN for Fast and Scalable Point Cloud Learning

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

code/webpage for the DeepMapping project

orb-slam2 with semantic label

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

No description or website provided.

FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

3D Graph Neural Networks for RGBD Semantic Segmentation

Patch-base progressive 3D Point Set Upsampling

CloudCompare main repository

Papers and Datasets about Point Cloud.

Lightweight and Accurate Point Cloud Clustering

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

L-CAS 3D Point Cloud Annotation Tool

Cluster based segmentation of Point Cloud with PCL lib in ROS

Code for Pointwise Convolutional Neural Networks, CVPR 2018

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

A learned sampling approach for point clouds (CVPR 2019)

YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Visualising LIDAR data from KITTI dataset.