slenderlori

slenderlori's Stars

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust34.7k922.6k923

• princeton-vl/RAFT

  Language:Python3.3k39170632

• NVIDIA/flownet2-pytorch

  Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

  Language:Python3.1k56263740

• NVlabs/PWC-Net

  PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

  Language:Python1.6k44130355

• drinkingcoder/FlowFormer-Official

  Language:Python406155047

• ppliuboy/SelFlow

  SelFlow: Self-Supervised Learning of Optical Flow

  Language:Python397152862

• sniklaus/pytorch-spynet

  a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

  Language:Python314122147

• zacjiang/GMA

  Learning to Estimate Hidden Motions with Global Motion Aggregation (ICCV 2021)

  Language:Python28882746

• google-research/opticalflow-autoflow

  Language:Jupyter Notebook1169612

• f-ilic/AppearanceFreeActionRecognition

  [ECCV 2022] Is Appearance Free Action Recognition Possible?

  Language:Python58231

• limacv/RGB_HSV_HSL

  a pure pytorch implementation of color space conversion, including rgb2hsl, rgb2hsv, hsv2rgb, hsl2rgb

  Language:Python54107

• megvii-research/KPAFlow

  PyTorch implementation of KPA-Flow. Learning Optical Flow with Kernel Patch Attention (CVPR-2022)

  Language:Python391132

• RaptorMai/CompBench

  CompBench evaluates the comparative reasoning of multimodal large language models (MLLMs) with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes.

  Language:Jupyter Notebook31111

• ryersonvisionlab/unsupFlownet

  Unsupervised Flownet

  Language:Python27575

• ily-R/Unsupervised-Optical-Flow

  Pytorch implementation of the paper: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness.

  Language:Python23233

• cv-stuttgart/M-FUSE

  [WACV 2023] Code for "M-FUSE: Multi-frame Fusion for Scene Flow Estimation"

  Language:Python20513

• cv-stuttgart/DistractingDownpour

  [ICCV 2023] Code for "Distracting Downpour: Adversarial Weather Attacks for Motion Estimation"

  Language:Python16300

• Framartin/lgv-geometric-transferability

  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"

  Language:Python16210

• VDIGPKU/FlowNAS

  [IJCV 2023] FlowNAS: Neural Architecture Search for Optical Flow Estimation

  Language:Python15112

• cv-stuttgart/flow_library

  Helpful library for optical flow computation: Read and write optical flow files, handle datasets, compute error measures and visualize optical flow fields.

  Language:Python14442

• cv-stuttgart/PCFA

  [ECCV 2022 Oral] Source code for "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

  Language:Python14212

• RSE-102/Lecture-Material

  Language:TeX11307

• f-ilic/SelectivePrivacyPreservation

  [CVPR 2024] Selective, Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition

  Language:Python9212

• lmb-freiburg/understanding_flow_robustness

  Official repository for "Towards Understanding Adversarial Robustness of Optical Flow Networks" (CVPR 2022)

  Language:Python9513

• cv-stuttgart/SDPF_Blind-Inpainting

  [JMIV 2022] Source code for "Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs"

  Language:Python70

• cv-stuttgart/springwebsite

  Website code of Spring benchmark

  Language:Python7120

• cv-stuttgart/HowTo_Thesis-Formalities

  A quick overview of formalities and thesis-styling for student at the Computer Vision Group

  Language:TeX4201

• ICLR23-DFlow/DFlow-official-code

  Language:Python410

• cv-stuttgart/DetectionDefenses

  [WACV 2024] Code for "Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow"

  Language:Python3100

• PatMue/classification_robustness

  ICCV2023 AROW Workshop Code submission. Classification robustness to common optical aberrations. (c) Patrick Müller (2023)

  Language:Python2