Video diffusion models can recover lost dynamic range information by learning to synthesize plausible scene radiance in over- and underexposed regions, making LDR-to-HDR conversion practical without paired training data.
DiffHDR converts standard video (8-bit LDR) to high dynamic range (HDR) by using a video diffusion model to intelligently fill in lost highlight and shadow details.