AI RESEARCH
DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models
arXiv CS.AI
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ArXi:2604.06161v1 Announce Type: cross Most digital videos are d in 8-bit low dynamic range (LDR) formats, where much of the original high dynamic range (HDR) scene radiance is lost due to saturation and quantization. This loss of highlight and shadow detail precludes mapping accurate luminance to HDR displays and limits meaningful re-exposure in post-production workflows. Although techniques have been proposed to convert LDR images to HDR through dynamic range expansion, they struggle to re realistic detail in the over- and underexposed regions.