vineeths96 / Video-Interpolation-using-Optical-FlowLinks
In this repository, we deal with the task of video frame interpolation with estimated optical flow. To estimate the optical flow we use Lucas-Kanade algorithm, Multiscale Lucas-Kanade algorithm (with iterative tuning), and Discrete Horn-Schunk algorithm. We explore the interpolation performance on Spheres dataset and Corridor dataset.
☆36Updated 4 years ago
Alternatives and similar repositories for Video-Interpolation-using-Optical-Flow
Users that are interested in Video-Interpolation-using-Optical-Flow are comparing it to the libraries listed below
Sorting:
- [ECCV 2022] Official repository of DeMFI.☆84Updated 2 years ago
- 4D light field depth estimation via sparse reconstruction and diffusion. BMVC 2020 and BMVC 2021☆50Updated 3 years ago
- Corrects perspective aberrations in wide-angle portraits. Implementation of the paper "Distortion-Free Wide-Angle Portraits on Camera Pho…☆65Updated 4 years ago
- [ECCV 2020] Defocus Blur Detection via Depth Distillation☆72Updated 3 years ago
- Official PyTorch implementation of "Deep Slow Motion Video Reconstruction with Hybrid Imaging System" (TPAMI)☆91Updated 5 years ago
- Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a proce…☆53Updated 3 years ago
- A PyTorch implementation of HDR+ with GPU support.☆133Updated last year
- an implementation of Revisiting Adaptive Convolutions for Video Frame Interpolation using PyTorch☆92Updated 6 months ago
- ☆102Updated 3 years ago
- Implementation of "Quadratic video interpolation", NeurIPS 2019.☆44Updated 4 years ago
- Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.☆144Updated 5 years ago
- [ICCV 2021, Oral 3%] Official repository of XVFI☆306Updated 3 years ago
- Video Frame Interpolation with Transformer (CVPR2022)☆131Updated last year
- PyTorch Implementation of Global SIP 2019 Paper "FHDR: HDR Image Reconstruction from a SingleLDR Image using Feedback Network"☆86Updated 2 years ago
- Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architectu…☆212Updated 3 years ago
- [CVPR 2022] "ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation", Duolikun Danier, Fan Zhang, David Bull☆74Updated 2 years ago
- Python library for realistically degrading images.☆22Updated last year
- 🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥☆106Updated 4 years ago
- Asymmetric Bilateral Motion Estimation for Video Frame Interpolation, ICCV2021☆104Updated 4 years ago
- Official Implementation of CURE, ECCV 2022☆13Updated 3 years ago
- Official PyTorch implementation of "Focus on Defocus" paper.☆86Updated 5 years ago
- Source Code for “LANet: A Luminance Attentive Network with Scale Invariance for HDR Image Reconstruction” (PG 2021)☆21Updated 4 years ago
- [TOG 2021] Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"☆116Updated last year
- [ICCV 2021] Repo for Photon-Starved Scene Inference using Single Photon Cameras☆13Updated 3 years ago
- Official PyTorch implementation of "Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss" (SIGGRAPH 2020)…☆151Updated 3 years ago
- ☆44Updated last year
- Official PyTorch implementation of "Frame Interpolation for Dynamic Scenes with Implicit Flow Encoding"☆38Updated 2 years ago
- Pytorch Trilinear Interpolation☆24Updated 5 years ago
- [ACM MM 2021] Joint Implicit Image Function for Guided Depth Super-Resolution☆110Updated 4 years ago
- [ACM MM 2022] Real-time Streaming Video Denoising with Bidirectional Buffers☆85Updated last year