223 skills found · Page 1 of 8
NVIDIA / Flownet2 PytorchPytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
lmb-freiburg / Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
twhui / LiteFlowNetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
sampepose / Flownet2 TfFlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
sniklaus / Pytorch Spyneta reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
ltkong218 / FastFlowNetFastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
fancompute / NeuropticaFlexible simulation package for optical neural networks
anuragranj / SpynetSpatial Pyramid Network for Optical Flow
HansRen1024 / Face Tracking Using CNN And Optical FlowOfficial implementation for paper "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for Internet of Things" using C++
USTCPCS / CVPR2018 AttentionContext Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark
gengshan-y / VCNVolumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
OMR-Research / Tf End To EndTensorFlow code to perform end-to-end Optical Music Recognition on monophonic scores through Convolutional Recurrent Neural Networks and CTC-based training.
computational-imaging / OpticalCNNhybrid optical electronic convolutional neural networks
closest-git / ONNetOptical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
neu-vi / EzflowA modular PyTorch library for optical flow estimation using neural networks
haoyunliang / Optical Neural NetworkPytorch Unofficial implement of paper "All optical machine learning using diffractive deep neural networks" .
tudelft / Event FlowSelf-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks
ei1994 / GMN Generative Matching Networkpaper：基于深度生成匹配网络的光学和SAR图像配准方法研究（Deep Generative Matching Network for Optical and SAR Image Registration）
antoninodimaggio / VoofVisual odometry using optical flow and neural networks
carlosnatalino / Optical Rl GymSet of reinforcement learning environments for optical networks
