cv-opticalflow Goto Github PK
Type: Organization
Type: Organization
The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
[ICRA'24] DeFlow: Decoder of Scene Flow Network in Autonomous Driving
[CVPR 2022] Deep Equilibrium Optical Flow Estimation
[CVPR 2024] DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
Official repository for paper: DiffSF: Diffusion Models for Scene Flow Estimation
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)
[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation
This is the official implementation of FlowNAS.
[CVPR 2022 Oral] GMFlow: Learning Optical Flow via Global Matching
A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020
[WACV 2023] M-FUSE: Multi-frame Fusion for Scene Flow Estimation
[CVPR 2023] Rethinking Optical Flow from Geometric Matching Consistent Perspective
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge Distillation (TCSVT 2022)
[CVPR 2024] MemFlow: Optical Flow Estimation and Prediction with Memory
Official Code of "[ICCV 2023] MPI-Flow: Learning Realistic Optical Flow with Multiplane Images"
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation (ICCV 2023)
Unifying Flow, Stereo and Depth Estimation
Official PyTorch Implementation of Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity
Official implementation of ICCV2023 VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation
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