3260 papers • 126 benchmarks • 313 datasets
This task has no description! Would you like to contribute one?
(Image credit: Papersgraph)
These leaderboards are used to track progress in single-image-based-hdr-reconstruction-7
Use these libraries to find single-image-based-hdr-reconstruction-7 models and implementations
A dense feedback block is designed and an end-to-end feedback network-FHDR is proposed for HDR image generation from a single exposure LDR image, showing the superiority of this approach over the state-of-the-art methods.
This work model the HDR-to-LDR image formation pipeline as the dynamic range clipping, non-linear mapping from a camera response function, and quantization, and proposes to learn three specialized CNNs to reverse these steps.
A method to explicitly estimate the tone mapping function and its corresponding HDR image in one network and generalizes well under different tone-mapping functions and achieves SOTA performance is proposed.
Adding a benchmark result helps the community track progress.