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Image Reconstruction on ImageNet-1k 256x256 (val)

0.18rFIDFLUX-VAE
0.13240.45370.7751.0963Oct 12, 2025Nov 23, 2025Jan 5, 2026Feb 17, 2026Mar 31, 2026May 13, 2026Jun 25, 2026

Evaluation results

MethodLinks
FLUX-VAEType=Continuous-Pixel, Training Data=–, Ratio=82025.100.1832.740.92—
FLUX-VAEType=Continuous, Ratio=82026.050.18———
FLUX-VAETokenizer Type=Continuous Tokenizer, Und.=No, #Token=32×322026.060.1832.740.92—
SD-VAE 3.5Type=Continuous, Ratio=82026.050.19———
SD-VAE 3Type=Continuous-Pixel, Training Data=–, Ratio=82025.100.231.290.87—
SD-VAE 3Tokenizer Type=Continuous Tokenizer, Und.=No, #Token=32×322026.060.231.290.87—
UniFlow(InternViT)Type=Continuous-Diffusion, Training Data=IN-1K, Ratio=142025.100.2633.230.96—
SiT-XLTokenizer=VA-VAE, #Params=675M, Epochs=802026.030.2727.70.7790.097
LightningDiTTokenizer=VA-VAE, #Params=675M, Epochs=642026.030.2727.70.7790.097
VA-VAEType=Continuous-Pixel, Training Data=1N-1K, Ratio=162025.100.2827.960.79—
SiT-XLTokenizer=VA-VAE2025.110.28———
Ours-AE-XLTokenizer=DINO-Tok-AE2025.110.28———
VA-VAEType=Continuous, Dim=32, Size=-2025.110.2827.960.790.0962
DINO-Tok-AEType=Continuous, Dim=832, Size=-2025.110.2825.070.740.0995
VA-VAEType=Continuous, Ratio=16, Training Data=IN-1K2026.050.28———
UniTokType=1D2026.040.33———
UniTok*Tokenizer Type=Discrete Tokenizer, Und.=Yes, #Token=16×162026.060.3725.320.77—
VibeToken-LLType=1D2026.040.425.040.81940.1048
UniTokType=Discrete-Pixel, Training Data=DC-1B, Ratio=162025.100.4127.280.77—
UniTokType=Discrete, Ratio=16, Training Data=DC1B, Codebook Size=4096 x 8, Capacity=2^{96}2026.050.41———
WinTokType=Hybrid, Ratio=16, Training Data=Mix50M, Codebook Size=4096 x 4, Capacity=2^{48}2026.050.41———
VibeToken-SLType=1D2026.040.4324.470.80690.1137
BSQ-ViTType=Discrete-Pixel, Training Data=1N-1K, Ratio=162025.100.4528.140.81—
CAT#Params=187M, Elastic=true2026.060.46———
RAE-XLTokenizer=RAE2025.110.49———
RAEType=Continuous, Dim=768, Size=-2025.110.4919.230.62—
MGVQType=Discrete, Ratio=16, Training Data=IN-1K, Codebook Size=2048 x 8, Capacity=2^{88}2026.050.49———
LightningDiTTokenizer=RPiAE, #Params=675M, Epochs=602026.030.521.30.5250.216
LightningDiTTokenizer=RPiAE, #Params=675M, Epochs=802026.030.521.30.5250.216
VFM-VAEType=Continuous, Ratio=16, Training Data=IN-1K2026.050.52———
RAE (SigLIP2)Type=Continuous, Ratio=16, Training Data=IN-1K2026.050.53———
DualTokenType=Discrete-Pixel, Training Data=CC12M, Ratio=162025.100.5423.560.74—
UniFlow(DINOv2)Type=Continuous-Diffusion, Training Data=IN-1K, Ratio=142025.100.5431.010.94—
DualTokenType=Discrete, Ratio=16, Training Data=CC12M2026.050.54———
DetailFlowType=1D2026.040.55———
FlowMo-HiType=Discrete-Diffusion, Training Data=IN-1K, Ratio=–2025.100.5626.930.79—
LightingDiTTokenizer=RAE-B, #Params=675M, Epochs=802026.030.5718.80.4830.256
DiTDH-XLTokenizer=RAE-B, #Params=839M, Epochs=802026.030.5718.80.4830.256
LlamaGenTokenizer=VQGAN, #Params=3.1B, Epochs=3002026.030.5924.50.813—
MaskDiT-XLTokenizer=SD-VAE, #Params=675M, Epochs=16002026.030.6126.90.7360.13
DiT-XLTokenizer=SD-VAE, #Params=675M, Epochs=14002026.030.6126.90.7360.13
SiT-XLTokenizer=SD-VAE, #Params=675M, Epochs=14002026.030.6126.90.7360.13
REPA-XLTokenizer=SD-VAE, #Params=675M, Epochs=802026.030.6126.90.7360.13
WeTokType=Discrete, Ratio=16, Training Data=IN-1K, Capacity=2^{32}2026.050.61———
UniFlow(SigLIP2)Type=Continuous-Diffusion, Training Data=IN-1K, Ratio=162025.100.6229.380.93—
UniFlow (SigLIP2)Type=Continuous, Ratio=16, Training Data=IN-1K2026.050.62———
ViQTokenizer Type=Discrete Tokenizer, Und.=Yes, #Token=16×162026.060.6222.730.66—
LightingDiTTokenizer=RAE-S, #Params=675M, Epochs=802026.030.6418.90.4890.252
SVG-XLTokenizer=SVG, #Params=675M, Epochs=802026.030.65———
SVG-XLTokenizer=SVGTok2025.110.65———
SVGType=Continuous, Dim=392, Size=-2025.110.6523.890.650.19
SD-VAE XLType=Continuous-Pixel, Training Data=OImg+LAae++, Ratio=82025.100.6727.370.78—
UniFlow(CLIP)Type=Continuous-Diffusion, Training Data=IN-1K, Ratio=142025.100.6728.660.91—
SDXL-VAEType=Continuous, Ratio=82026.050.67———
l-DeTokType=Continuous-Diffusion, Training Data=IN-1K, Ratio=162025.100.68———
LightningDiTTokenizer=FAE-d32, #Params=675M, Epochs=802026.030.68———
SelfTokType=Discrete-Diffusion, Training Data=IN-1K, Ratio=–2025.100.724.140.71—
SD-VAE 2.xType=Continuous, Ratio=8, Training Data=Mix6B2026.050.7———
Semanticist#Tokens=256, Elastic=true2026.060.72———
Wan2.2Type=Continuous-Pixel, Training Data=–, Ratio=162025.100.74931.250.88—
Wan2.2Tokenizer Type=Continuous Tokenizer, Und.=No, #Token=16×162026.060.7531.250.88—
UniLIPType=Continuous-Pixel, Training Data=BP-32M, Ratio=322025.100.7922.990.747—
UniLIPType=Continuous, Ratio=16, Training Data=BP-32M2026.050.79———
ImageFolderType=1D2026.040.8———
ImageFolder#Params=362M, #Codebook=4096, #Tokens=286, Elastic=false2026.060.8———
Λ24-SQ-ViTArch.=T, Quant.=Λ24-SQ, Param.=174M, #bits=18, TP=45.12025.120.8326.370.79340.0622
MaskDiT-XLTokenizer=SD-VAE2025.110.87———
DiT-XLTokenizer=SD-VAE2025.110.87———
SiT-XLTokenizer=SD-VAE2025.110.87———
Faster-DiTTokenizer=SD-VAE2025.110.87———
MDTTokenizer=SD-VAE2025.110.87———
REPA-XLTokenizer=SD-VAE2025.110.87———
SD-VAEukn.Type=Continuous, Dim=16, Size=-2025.110.8724.440.6980.1363
VFMTokType=Discrete, Ratio=-, Training Data=IN-1K, Codebook Size=16384, Capacity=2^{14}2026.050.89———
VARType=1D2026.040.9———
VAR#Params=310M, #Codebook=4096, #Tokens=680, Elastic=false2026.060.9———
Wan2.1Type=Continuous-Pixel, Training Data=–, Ratio=82025.100.9531.340.89—
Cosmos-CIType=Continuous-Pixel, Training Data=–, Ratio=162025.100.9625.070.7—
Cosmos-CITokenizer Type=Continuous Tokenizer, Und.=No, #Token=16×162026.060.9625.070.7—
IBQType=2D2026.040.9722.950.5960.198
OmniTokenizerType=Continuous-Pixel, Training Data=IN-1K+K600, Ratio=82025.101.0226.740.82—
One-D-Piece-LType=1D2026.041.0819.04——
DINO-Tok-VQType=Discrete, Dim=832, Size=16384 × 22025.111.120.450.5440.2382
VFMTokType=Discrete, Dim=12, Size=163842025.111.1319.910.4880.268
BSQ-ViTArch.=T, Quant.=BSQ, Param.=174M, #bits=18, TP=45.12025.121.1425.360.75780.0761
SemHiTokType=Discrete-Pixel, Training Data=CY-50M, Ratio=162025.101.16———
SemHiTokType=Discrete, Ratio=16, Training Data=Mix70M, Codebook Size=16384 x 12, Capacity=2^{14}2026.051.16———
Open-MAGVIT2Type=Discrete, Dim=18, Size=2621442025.111.1721.9—0.2038
MAGVIT-v2Type=2D2026.041.1722.620.5870.205
Open-Magvit2Type=Discrete, Ratio=16, Training Data=IN-1K, Codebook Size=262144, Capacity=2^{18}2026.051.17———
SD-VAE 1.xType=Continuous-Pixel, Training Data=OImg, Ratio=82025.101.2223.540.68—
SD-VAE 2.xType=Continuous-Pixel, Training Data=OImg+LAae, Ratio=82025.101.2223.540.68—
SD-VAE 1.xType=Continuous, Ratio=8, Training Data=OI1B2026.051.22———
SD-VAE 1.xArch.=C, Quant.=VQ, Param.=68M, #bits=14, TP=22.42025.121.2322.820.63540.0912
VQRAEType=Hybrid, Ratio=16, Training Data=BP-32M, Codebook Size=16384, Capacity=2^{14}2026.051.31———
AdaTok-Full#Params=97M, #Codebook=4096, #Tokens=256, Elastic=true2026.061.3118.42——
TokenflowType=Discrete-Pixel, Training Data=LA+CY, Ratio=162025.101.3721.410.69—
DualViTokType=Discrete-Pixel, Training Data=Mixed-63M, Ratio=162025.101.3722.530.74—
IBQType=Discrete, Dim=256, Size=163842025.111.37——0.2235
TokenFlowType=Discrete, Ratio=16, Training Data=LA+CY700M, Codebook Size=32768, Capacity=2^{15}2026.051.37———