DIML VS XVFI

Compare DIML vs XVFI and see what are their differences.

DIML

[ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching (by wl-zhao)
interpretable-deep-learning deep-metric-learning iccv2021 Computer Vision Deep Learning
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XVFI

[ICCV 2021, Oral 3%] Official repository of XVFI (by JihyongOh)
video-frame-interpolation frame-interpolation convolutional-neural-networks Pytorch Deep Learning extreme-video-frame-interpolatioin Dataset 4k-frame iccv iccv2021
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DIML XVFI
1 1
83 260
- -
5.2 0.0
over 2 years ago over 1 year ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DIML

Posts with mentions or reviews of DIML. We have used some of these posts to build our list of alternatives and similar projects.

XVFI

Posts with mentions or reviews of XVFI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DIML and XVFI you can also consider the following projects:

pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

AnimeInterp - The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild"

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.

CAIN - Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"

AgentFormer - [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".

DIML vs pytorch-metric-learning XVFI vs AnimeInterp DIML vs d2l-en XVFI vs frame-interpolation DIML vs surface_normal_uncertainty XVFI vs DeblurGANv2 DIML vs pytorch-grad-cam XVFI vs fashion-mnist XVFI vs Super-SloMo XVFI vs CAIN XVFI vs AgentFormer