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Yinuo Liao

3 accepted papers

2026

FastGaMer: Efficient GainMap Learning for Practical Inverse Tone Mapping

CVPR 2026

Inverse tone mapping (ITM) becomes significantly harder when the SDR input is produced by local tone mapping, which jointly applies global radiometric compression and spatially varying adaptations that distort dynamic range, contrast, and channel-wise color ratios. Existing ITM methods ignore this d

Cited by 0SourceScholar
2025

HDR Image Generation via Gain Map Decomposed Diffusion

ICCV 2025poster

While diffusion models have demonstrated significant success in standard dynamic range (SDR) image synthesis, generating high dynamic range (HDR) images with higher luminance and broader color gamuts remains challenging. This arises primarily from two factors: (1) The incompatibility between pretrai…

2025

Learning Gain Map for Inverse Tone Mapping

ICLR 2025poster

For a more compatible and consistent high dynamic range (HDR) viewing experience, a new image format with a double-layer structure has been developed recently, which incorporates an auxiliary Gain Map (GM) within a standard dynamic range (SDR) image for adaptive HDR display. This new format motivate…