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Found 5 papers, 2 papers with code
Expanded Adaptive Scaling Normalization for End to End Image Compression
Then, we increase the receptive field to make the adaptive rescaling module consider the spatial correlation.
Exploring Discontinuity for Video Frame Interpolation
Lastly, we propose loss functions to give supervisions of the discontinuous motion areas which can be applied along with FTM and D-map.
Smoother Network Tuning and Interpolation for Continuous-level Image Processing
Extensive results for various image processing tasks indicate that the performance of FTN is comparable in multiple continuous levels, and is significantly smoother and lighter than that of other frameworks.
Enhanced Standard Compatible Image Compression Framework based on Auxiliary Codec Networks
The postprocessing network increases the quality of decoded images using an example-based learning.
Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
In this paper, we propose a novel continuous-level learning framework using a Filter Transition Network (FTN) which is a non-linear module that easily adapt to new levels, and is regularized to prevent undesirable side-effects.
