Single-shot HDR Reconstruction
2 papers with code • 0 benchmarks • 1 datasets
SVE-based HDR imaging, also known as single-shot HDR imaging, algorithms capture a scene with pixel-wise varying exposures in a single image and then computationally synthesize an HDR image, which benefits from the multiple exposures of the single image.
Benchmarks
These leaderboards are used to track progress in Single-shot HDR Reconstruction
SI-HDR
Most implemented papers
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging
viengiaan/EDWL
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European Conference on Computer Vision (ECCV) 2022
We propose a novel single-shot high dynamic range (HDR) imaging algorithm based on exposure-aware dynamic weighted learning, which reconstructs an HDR image from a spatially varying exposure (SVE) raw image.
High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
Besides, since all current datasets do not provide the corresponding relationship between the tone mapping function and the LDR image, we construct a new dataset with both synthetic and real images.
