Comments (2)
Hi, we removed refinenet completely. Because we found that although refinenet improves model evaluation indicators, it often performs poorly in real scenarios.
The output is obtained by merging two warped images.
from practical-rife.
I see, thank you for the quick response! Do you think there might be cases where using refinenet might help improve some interpolations visually, for example in animation? I could see some interpolations benefiting from further postprocessing, since warping the before and after frames might not be enough to achieve some details in the inbetween.
from practical-rife.
Related Issues (20)
- Rife v4.14 lite HOT 6
- model.update中的loss_cons相关问题 HOT 1
- import nori2 as nori HOT 1
- Do you have charted out performance of different models HOT 4
- Nothing work "model no defined"
- He cant find ffmpeg HOT 2
- Video Freeze after Frame Interpolation
- 训练问题 HOT 2
- ONNX export script HOT 2
- Model Training HOT 4
- Practical RIFE vs ECCV2022 RIFE teacher differences HOT 4
- FFMPEG arguments? HOT 2
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- Will there be another Rife model? HOT 12
- Request to incorporate InterpAny-Clearer's technology in Practical-RIFE HOT 4
- 可否增加rife v4.17 lite? HOT 2
- How to avoid RIFE from Re-encoding output to MPEG codec HOT 1
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from practical-rife.