AgentFormer VS XVFI

Compare AgentFormer vs XVFI and see what are their differences.

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AgentFormer XVFI
1 1
243 260
- -
0.0 0.0
7 months ago over 1 year 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.

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.

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 AgentFormer and XVFI you can also consider the following projects:

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

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

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

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

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

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

PIE - Annotations for Pedestrian Intention Estimation (PIE) dataset

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

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"