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Image Reconstruction on ImageNet

36.99PSNRProxyImg
5.821213.913122.00530.0969Nov 29, 2023May 1, 2024Oct 2, 2024Mar 5, 2025Aug 6, 2025Jan 7, 2026Jun 11, 2026

Evaluation results

MethodLinks
ProxyImgTime (mins)=2.62026.0236.990.9525—0.08050.3———
ProxyImgCodes=263, Params=599552026.0236.990.9525—0.08050.3———
GaussImg.Time (mins)=32026.0236.750.9617—0.08570.31———
U-LDA2026.0336.66—————95.56—
LDA2026.0335.37—————94.26—
HUMUS-Net2026.0334.52—————93.97—
U-MRI2026.0334.33—————93.37—
DnCn2026.0333.9—————92.87—
HYDRA-XTOKCompression Spatial (fs)=16×, Compression Temporal (ft)=1×, Input Resolution=256×256, Training Data=ImageNet-1.2M, Variant=†2026.0632.960.9050.154—————
FLUX.1 [dev]Compression Spatial (fs)=8×, Compression Temporal (ft)=1×, Input Resolution=256×2562026.0632.860.9170.176—————
Meta2026.0332.81—————90.95—
PUSNet-MK2026.0332.640.946—————0.018
Qwen-ImageCompression Spatial (fs)=8×, Compression Temporal (ft)=1×, Input Resolution=256×2562026.0632.180.8991.459—————
HYDRA-XTOK (Stage 3)Compression Spatial (fs)=16×, Compression Temporal (ft)=4×, Input Resolution=256×2562026.0632.040.8980.465—————
UNet2026.0331.36—————89.94—
Wan2.2Compression Spatial (fs)=16×, Compression Temporal (ft)=4×, Input Resolution=256×2562026.0631.250.8780.749—————
S-SVG2026.0229.960.9028—0.24961.4———
AToken-So/C (Stage 3)Compression Spatial (fs)=16×, Compression Temporal (ft)=4×, Input Resolution=256×2562026.0629.720.8480.209—————
PUSNet2026.0329.240.942—————0.027
DiffBCPMasking Pattern=Uniform(0.7), Prior=smooth or pre-trained model prior2026.0628.95——21.27——84.53—
Baluja2026.0328.140.902—————0.031
ChenFeature Dimension=512, Codes=6144, Params=1134112026.0228.070.8717—0.25931.56———
ChenFeature Dimension=256, Codes=3072, Params=581152026.0227.850.8692—0.25951.64———
SIRENLayers=5, Params=833312026.0227.70.8688—0.26051.7———
VAVAECompression Spatial (fs)=16×, Compression Temporal (ft)=1×, Input Resolution=256×256, Training Data=ImageNet-1.2M2026.0627.70.7980.279—————
DiffBCPMasking Pattern=Irregular, Prior=smooth or pre-trained model prior2026.0627.02——19.66——83.09—
OmniTokenizerCompression Spatial (fs)=8×, Compression Temporal (ft)=4×, Input Resolution=256×2562026.0626.740.8241.023—————
SD-VAECompression Spatial (fs)=8×, Compression Temporal (ft)=1×, Input Resolution=256×2562026.0626.260.7450.606—————
HiNet2026.0326.110.808—————0.039
DeepTensorMasking Pattern=Uniform(0.7), Structure=deep (neural network)2026.0626.03——32.6——68.81—
SIRENLayers=3, Params=503072026.0226.020.8267—0.27732.5———
HLRTFMasking Pattern=Uniform(0.7), Structure=deep (neural network)2026.0626——38.56——73.94—
DVGTime (mins)=89.82026.0225.80.8459—0.38232.63———
VP-VAECodebook Size=163842026.0225.43150.7535—0.1481—0.7718——
FSPCodebook Size=163842026.0225.39740.7466—0.1534—0.6887——
LIVETime (mins)=>10002026.0225.360.8443—0.40762.91———
UniTokCompression Spatial (fs)=16×, Compression Temporal (ft)=1×, Input Resolution=256×2562026.0625.340.7420.362—————
SimVQCodebook Size=163842026.0225.33040.7496—0.1458—0.8164——
O&RTime (mins)=81.32026.0225.260.8464—0.40582.98———
DeepTensorMasking Pattern=Irregular, Structure=deep (neural network)2026.0625.16——29.3——73.1—
LIIFSpatial Grid Proportion=1/4, Codes=16384, Params=2647072026.0225.090.8241—0.2923.1———
DiffBCPMasking Pattern=Stripe, Prior=smooth or pre-trained model prior2026.0625.07——24.83——77.58—
BTRMasking Pattern=Uniform(0.7)2026.0625.03——43.58——63.44—
DiffBCPMasking Pattern=Uniform(0.9), Prior=smooth or pre-trained model prior2026.0625.03——35.58——71.49—
tCTVMasking Pattern=Uniform(0.7), Prior=smooth or pre-trained model prior2026.0624.94——36.78——60.13—
VP-VAECodebook Size=40962026.0224.93360.74—0.1653—0.8004——
FSPCodebook Size=40962026.0224.91060.7323—0.1598—0.8074——
VQ-VAECodebook Size=163842026.0224.83490.7359—0.1592—0.2621——
FSQCodebook Size=163842026.0224.81980.7237—0.1627—0.7756——
SimVQCodebook Size=40962026.0224.81540.7339—0.1578—0.8504——
FSQCodebook Size=40962026.0224.41620.7065—0.1749—0.7759——
VP-VAECodebook Size=10242026.0224.410.7115—0.179—0.7912——
VQ-VAECodebook Size=40962026.0224.37650.7113—0.177—0.2371——
BCPMasking Pattern=Uniform(0.7)2026.0624.34——47.97——61.07—
SimVQCodebook Size=10242026.0224.33430.707—0.1719—0.8736——
FSPCodebook Size=10242026.0224.26810.7115—0.1795—0.8466——
FSQCodebook Size=10242026.0224.09730.6878—0.1931—0.8——
DeepTensorMasking Pattern=Stripe, Structure=deep (neural network)2026.0623.87——32.6——68.64—
VQ-VAECodebook Size=10242026.0223.8520.6851—0.1911—0.3604——
VP-VAECodebook Size=2562026.0223.83290.6759—0.1989—0.7859——
FSPCodebook Size=2562026.0223.79190.6736—0.1989—0.8819——
DeepTensorMasking Pattern=Uniform(0.9), Structure=deep (neural network)2026.0623.74——42.85——56.46—
SimVQCodebook Size=2562026.0223.65990.6827—0.1927—0.9363——
tCTVMasking Pattern=Irregular, Prior=smooth or pre-trained model prior2026.0623.62——33.89——55.96—
SODALatent Dim=20482023.1123.60.932.770.19————
VQ-VAECodebook Size=2562026.0223.59420.6704—0.2121—0.3617——
FSQCodebook Size=2562026.0223.45550.6645—0.2182—0.8574——
HLRTFMasking Pattern=Stripe, Structure=deep (neural network)2026.0623.3——38.34——70.09—
tCTVMasking Pattern=Uniform(0.9), Prior=smooth or pre-trained model prior2026.0623.03——48.5——54.83—
UDH2026.0323.020.821—————0.061
tCTVMasking Pattern=Stripe, Prior=smooth or pre-trained model prior2026.0622.87——41.47——58.14—
DALL-ELatent Dim=512x32x32, Codebook Cardinality=8K2023.1122.80.7332.011.95————
HLRTFMasking Pattern=Uniform(0.9), Structure=deep (neural network)2026.0622.65——50.66——59.35—
BTRMasking Pattern=Irregular2026.0622.44——42.94——60.81—
Vila-UCompression Spatial (fs)=16×, Compression Temporal (ft)=1×, Input Resolution=256×2562026.0622.240.6124.231—————
VQGANLatent Dim=256x32x32, Codebook Cardinality=8K2023.1122.20.651.491.17————
HLRTFMasking Pattern=Irregular, Structure=deep (neural network)2026.0622.01——35.73——71.83—
LIIFSpatial Grid Proportion=1/8, Codes=4096, Params=680992026.0221.820.6347—0.50596.58———
BTRMasking Pattern=Uniform(0.9)2026.0621.8——56.15——48.37—
GLONMasking Pattern=Irregular, Prior=smooth or pre-trained model prior2026.0621.54——41.01——54.86—
BCPMasking Pattern=Irregular2026.0621.33——41.93——61.21—
GLONMasking Pattern=Stripe, Prior=smooth or pre-trained model prior2026.0620.65——45.6——53.14—
BCPMasking Pattern=Uniform(0.9)2026.0620.17——59.46——39.71—
VQGANLatent Dim=256x16x16, Codebook Cardinality=16K2023.1119.90.514.981.83————
HiDDeN2026.0319.880.76—————0.081
VQGANLatent Dim=256x16x16, Codebook Cardinality=1K2023.1119.40.57.941.98————
BTRMasking Pattern=Stripe2026.0618.68——49.79——49.45—
RAECompression Spatial (fs)=16×, Compression Temporal (ft)=1×, Input Resolution=256×256, Training Data=ImageNet-1.2M2026.0618.050.52.04—————
GLONMasking Pattern=Uniform(0.7), Prior=smooth or pre-trained model prior2026.0612.47——60.45——27.46—
TokenBridgeCodebook Size=2562026.0211.65250.2024—0.6079—0.9887——
TokenBridgeCodebook Size=40962026.0211.55540.192—0.6071—0.9887——
TokenBridgeCodebook Size=10242026.0211.45610.1985—0.6108—0.9887——
TokenBridgeCodebook Size=163842026.0211.44470.1969—0.6166—0.9888——
BCPMasking Pattern=Stripe2026.0610.05——62.56——28.62—
DALL-E 2Latent Dim=10242023.1190.1116.530.66————
GLONMasking Pattern=Uniform(0.9), Prior=smooth or pre-trained model prior2026.067.02——70.43——15.39—
RAE-d768Latent Dimension=7682025.12——0.57—————
SD-VAEBackbone=SD-VAE2025.12——0.63—————
UniTokBackbone=UniTok2025.12——0.41—————
VA-VAE-d32Latent Dimension=322025.12——0.28—————