

FILM
Overview :
Frame Interpolation (Frame Interpolation) is a high-quality frame interpolation neural network model. This model uses a unified single-network method, does not require additional pre-trained networks, such as optical flow or depth networks, but still achieves state-of-the-art results. The model uses a multi-scale feature extractor to share the same convolutional weights at different scales. The model is trained only using frame trios.
Target Users :
Suitable for frame interpolation in large-scale action scenes, can be used in video editing, visual effects production and other fields.
Features
High-quality frame interpolation
Unified single-network method
No need for additional pre-training networks
Multi-scale feature extractor
Frame trio training
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