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SDR-to-HDR Conversion on HDRTV4K (test)

9.72VDP3LumaFlux
5.1446.3327.528.708Mar 23, 2023Sep 23, 2023Mar 26, 2024Sep 26, 2024Mar 30, 2025Sep 30, 2025Apr 3, 2026

Evaluation results

MethodLinks
LumaFluxsampling mode=prompt-free, ODE solver steps=402026.049.72———————35.8697.8—5.86——————————————————
RealRep2025.059.35——————————25.9897——————————————————
LSNet2025.059.19——————————39.7596——————————————————
PromptIR2026.049.17———————28.4889.8—7——————————————————
RAM-PromptIR2025.059.17——————————39.4649——————————————————
PromptIR2025.059.11——————————39.6666——————————————————
ICTCPNet2026.048.9———————33.1297.7—6.75——————————————————
ICTCPNet2025.058.9——————————38.1077——————————————————
FMNet2025.058.75——————————42.2242——————————————————
HDRTVNet2025.058.69——————————42.4653——————————————————
DaVinciDisplay Mapping (DM)=None2023.038.5280.91031.6550.2051.93995.4148.8633.1926.3989.1835.47———————————————————
AirNet2025.058.48——————————64.8582——————————————————
HDCFM2026.048.2———————33.2590.8—7.42——————————————————
LSNTraining Dataset (GT)=HDRTV4K, Display Mapping (DM)=ours x 32023.038.134.25092.5990.3610.68737.52220.423.82924.4783.137.84———————————————————
HDRTVNetTraining Dataset (GT)=HDRTV1K, Display Mapping (DM)=YouTube2023.038.120.30780.6250.0692.43345.8179.7591.59330.8288.1227.58———————————————————
HDRTVNet++2026.048.12———————30.8288.1—7.85——————————————————
FMNetTraining Dataset (GT)=HDRTV1K, Display Mapping (DM)=YouTube2023.038.0690.22640.4740.222.48135.779.7581.5130.9188.5527.16———————————————————
HDRTV1K Model (Ablation: ours x 3 DM)Training Dataset (GT)=HDRTV1K, Display Mapping (DM)=ours x 32023.038.0022.94052.0130.1691.74947.33717.183.4224.383.5138.03———————————————————
LSN (Ablation: YouTube DM)Training Dataset (GT)=HDRTV4K, Display Mapping (DM)=YouTube2023.037.9020.21680.2540.1442.51185.8749.761.21330.1588.5828.04———————————————————
HDRTVDM2026.047.9———————30.1588.6—9.95——————————————————
Zeng20 Model (Ablation: ours x 3 DM)Training Dataset (GT)=Zeng20, Display Mapping (DM)=ours x 32023.037.8741.81470.3450.0020.05937.11718.792.12425.1781.7928.58———————————————————
KPN-MFITraining Dataset (GT)=own, Display Mapping (DM)=YouTube2023.037.7850.01930.0010.0382.45925.3889.4620.9229.3787.4627.47———————————————————
NukeDisplay Mapping (DM)=None2023.037.4791.85650.384004.9913.32.56220.8772.7364.29———————————————————
JSI-GANTraining Dataset (GT)=KAIST, Display Mapping (DM)=YouTube2023.037.4520.20410.1360.2121.33345.7419.6591.09227.8784.230.23———————————————————
Deep SR-ITM2026.046.92———————26.5981.2—8.88——————————————————
Deep SR-ITMTraining Dataset (GT)=KAIST, Display Mapping (DM)=YouTube2023.036.9170.23230.3720.1721.09645.4859.581.42826.5981.1532.54———————————————————
LSN (Ablation: Reinhard DM)Training Dataset (GT)=HDRTV4K, Display Mapping (DM)=Reinhard2023.036.8320.15010.734006.498.3872.47527.784.3626.03———————————————————
SR-ITM-GANTraining Dataset (GT)=Zeng20, Display Mapping (DM)=Reinhard2023.036.7070.13320.55006.47.8532.25128.0488.3124.78———————————————————
Input SDRDisplay Mapping (DM)=None2023.036.57100006.5710.76—23.9288.6144.97———————————————————
FlashVSR2026.045.72———————33.5184.6—7.51——————————————————
LEDiff2026.045.32———————32.2586.3—9.66——————————————————
AirNetArchitecture Category=Transformer-based2025.05————————————2385.9421.7285.1921.0280.4422.2286.7221.5981.0722.1884.0718.7283.7922.285.1221.5884.04
FMNetArchitecture Category=CNN-based2025.05————————————27.9690.523.8487.5322.2983.2724.4888.3523.1683.924.8886.0322.2686.0324.3187.5524.1586.65
HDRTVNetArchitecture Category=CNN-based2025.05————————————28.9790.5923.7385.0226.0585.9725.588.1526.9186.2126.4686.9923.2387.2225.3187.0925.7787.16
HDRUNetArchitecture Category=CNN-based2025.05————————————29.9192.1925.5588.6124.1785.0923.1787.924.6785.4825.1286.7623.6688.8722.7687.5824.8887.81
ICTCPNetArchitecture Category=CNN-based2025.05————————————29.5885.4827.0285.4827.7685.9425.6787.0528.2786.1229.9787.0925.6386.9425.7186.3927.4586.31
LSNetArchitecture Category=CNN-based2025.05————————————33.2394.0831.1890.828.0587.3125.639027.3487.1229.5689.1325.6789.727.0190.1928.4689.79
PromptIRArchitecture Category=Transformer-based2025.05————————————30.0691.4830.7290.7328.2386.9127.8390.282887.429.388.3824.9789.3127.6290.6828.3489.4
RAM-PromptIRArchitecture Category=Transformer-based2025.05————————————30.2591.8830.8391.0328.287.1128.0790.8828.0987.729.3188.2825.2990.0127.7791.0828.4889.75
RealRepArchitecture Category=Transformer-based2025.05————————————34.1395.0734.4193.3330.3889.3630.0592.6630.4789.7631.3690.8327.5992.9230.0393.5831.0592.19