XVFI VS AgentFormer

Compare XVFI vs AgentFormer and see what are their differences.

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XVFI AgentFormer
1 1
260 243
- -
0.0 0.0
over 1 year ago 6 months ago
Python Python
- MIT License
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.

XVFI

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

AgentFormer

Posts with mentions or reviews of AgentFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-20.

What are some alternatives?

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

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

FBCNN - Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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

waymo-motion-prediction-challenge-2022-multipath-plus-plus - Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

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

PIE - Annotations for Pedestrian Intention Estimation (PIE) dataset

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

DIML - [ICCV 2021] Towards Interpretable Deep Metric Learning with Structural Matching

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