XVFI
[ICCV 2021, Oral 3%] Official repository of XVFI (by JihyongOh)
AnimeInterp
The code for CVPR21 paper "Deep Animation Video Interpolation in the Wild" (by lisiyao21)
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| XVFI | AnimeInterp | |
|---|---|---|
| 1 | 1 | |
| 260 | 385 | |
| - | - | |
| 0.0 | 2.0 | |
| over 1 year ago | 29 days ago | |
| Python | Python | |
| - | - |
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.
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.
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[D] Has anyone compared XVFI's interpolation quality with RIFE?
GitHub - JihyongOh/XVFI: Official repository of XVFI (accepted in ICCV2021, Oral)
AnimeInterp
Posts with mentions or reviews of AnimeInterp.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing XVFI and AnimeInterp you can also consider the following projects:
frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.
DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
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"
AgentFormer - [ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".