List your company

Conditional Image Generation on ImageNet-1K 256x256 (val)

1.28gFIDAliTok-XL
-0.12929.382918.89528.4071Dec 6, 2022May 7, 2023Oct 6, 2023Mar 6, 2024Aug 5, 2024Jan 4, 2025Jun 5, 2025

Evaluation results

MethodLinks
AliTok-XLTraining epochs=400, #Parameters=662M, cfg=true2025.061.28306.30.790.65—
LightningDiTTraining epochs=800, #Parameters=675M, cfg=true2025.061.35295.30.790.65—
AliTok-LTraining epochs=800, #Parameters=318M, cfg=true2025.061.38326.20.780.65—
REPATraining epochs=800, #Parameters=675M, cfg=true2025.061.42305.70.80.65—
AliTok-BTraining epochs=800, #Parameters=177M, cfg=true2025.061.44319.50.770.65—
RAR-XXLTraining epochs=400, #Parameters=1.5B, cfg=true2025.061.483260.80.63—
RAR-XLTraining epochs=400, #Parameters=955M, cfg=true2025.061.5306.90.80.62—
MAR-HTraining epochs=800, #Parameters=943M, cfg=true2025.061.55303.70.810.62—
MAR-H, Diff Loss#params=943M, CFG=True, Token Representation=continuous-valued tokens2024.061.55303.78162—
MDTv2-XL/2#params=676M, CFG=True, Token Representation=continuous-valued tokens2024.061.58314.77965—
RAR-LTraining epochs=400, #Parameters=461M, cfg=true2025.061.7299.50.810.6—
DiffiTCFG=True, Token Representation=continuous-valued tokens2024.061.73276.58062—
MAGVIT-v2Training epochs=1080, #Parameters=307M, cfg=true2025.061.78319.4———
MAGVIT-v2#params=307M, CFG=True, Token Representation=vector-quantized tokens2024.061.78319.4———
MAR-L, Diff Loss#params=479M, CFG=True, Token Representation=continuous-valued tokens2024.061.782968160—
AliTok-XLTraining epochs=400, #Parameters=662M, cfg=false2025.061.88228.4———
VAR-d30Training epochs=350, #Parameters=2.0B, cfg=true2025.061.92323.10.820.59—
RAR-BTraining epochs=400, #Parameters=261M, cfg=true2025.061.95290.50.820.58—
TiTok-S-128Training epochs=800, #Parameters=287M, cfg=true2025.061.97281.8———
MAR-LTraining epochs=800, #Parameters=479M, cfg=true2025.061.98290.30.810.6—
AliTok-LTraining epochs=800, #Parameters=318M, cfg=false2025.061.98200.8———
SiT-XLTraining epochs=800, #Parameters=675M, cfg=true2025.062.06270.30.820.59—
VAR-d24Training epochs=350, #Parameters=1.0B, cfg=true2025.062.09312.90.820.59—
VDM++#params=2B, CFG=True, Token Representation=pixel-based2024.062.12267.7———
LightningDiTTraining epochs=800, #Parameters=675M, cfg=false2025.062.17205.6———
LlamaGen-3BTraining epochs=300, #Parameters=3B, cfg=true2025.062.18263.30.810.59—
AsCANFLOPS=52G, Throughput (A100, B=64, samples/sec)=556, Resolution=256x256, sampled cfg=true2024.112.23————
DiT-XL/2#params=675M, CFG=True, Token Representation=continuous-valued tokens2024.062.27278.28357—
DiT-XL/2-GFLOPS=118G, Throughput (A100, B=64, samples/sec)=293, Resolution=256x2562024.112.27————
U-ViT-H/2-G#params=501M, CFG=True, Token Representation=continuous-valued tokens2024.062.29263.98257—
U-ViT-H/2FLOPS=133G, Throughput (A100, B=64, samples/sec)=271, Resolution=256x2562024.112.29————
MAR-BTraining epochs=800, #Parameters=208M, cfg=true2025.062.31281.70.820.57—
MAR-B, Diff Loss#params=208M, CFG=True, Token Representation=continuous-valued tokens2024.062.31281.78257—
LlamaGen-XXLTraining epochs=300, #Parameters=1.4B, cfg=true2025.062.34253.90.80.59—
MAR-HTraining epochs=800, #Parameters=943M, cfg=false2025.062.35227.8———
MAR-H, Diff Loss#params=943M, CFG=False, Token Representation=continuous-valued tokens2024.062.35227.87962—
AliTok-BTraining epochs=800, #Parameters=177M, cfg=false2025.062.4177.1———
VDM++#params=2B, CFG=False, Token Representation=pixel-based2024.062.4225.3———
AsCANFLOPS=52G, Throughput (A100, B=64, samples/sec)=556, Resolution=256x2562024.112.41————
MAR-LTraining epochs=800, #Parameters=479M, cfg=false2025.062.6221.4———
MAR-L, Diff Loss#params=479M, CFG=False, Token Representation=continuous-valued tokens2024.062.6221.47960—
LlamaGen-XLTraining epochs=300, #Parameters=775M, cfg=true2025.062.62244.10.80.57—
RAR-XXLTraining epochs=400, #Parameters=1.5B, cfg=false2025.063.26193.3———
GIVT#params=304M, CFG=True, Token Representation=continuous-valued tokens2024.063.35—8453—
U-ViT-L/2FLOPS=77G, Throughput (A100, B=64, samples/sec)=498, Resolution=256x2562024.113.4————
MAR-BTraining epochs=800, #Parameters=208M, cfg=false2025.063.48192.4———
MAR-B, Diff Loss#params=208M, CFG=False, Token Representation=continuous-valued tokens2024.063.48192.47858—
LDM-4#params=400M, CFG=True, Token Representation=continuous-valued tokens2024.063.6247.78748—
LDMFLOPS=104G, Throughput (A100, B=64, samples/sec)=362, Resolution=256x2562024.113.6————
MAGVIT-v2Training epochs=1080, #Parameters=307M, cfg=false2025.063.65200.5———
MAGVIT-v2#params=307M, CFG=False, Token Representation=vector-quantized tokens2024.063.65200.5———
RAR-XLTraining epochs=400, #Parameters=955M, cfg=false2025.063.72179.9———
VIT-VQGANParams=1.7B, Steps=10242022.124.17175.1———
TiTok-S-128Training epochs=800, #Parameters=287M, cfg=false2025.064.44168.2———
SeQ-GAN + NAR-LParams=364M, Steps=122022.124.55200.4———
ADM#params=554M, CFG=True, Token Representation=pixel-based2024.064.59186.78252—
SeQ-GAN + NARParams=229M, Steps=122022.124.99189.1———
MDTv2-XL/2#params=676M, CFG=False, Token Representation=continuous-valued tokens2024.065.06155.67266—
RAR-LTraining epochs=400, #Parameters=461M, cfg=false2025.065.39149.1———
GIVT#params=304M, CFG=False, Token Representation=continuous-valued tokens2024.065.67—7559—
REPATraining epochs=800, #Parameters=675M, cfg=false2025.065.9157.8———
MaskGITTraining epochs=300, #Parameters=227M, cfg=false2025.066.18182.1———
MaskGITParams=227M, Steps=82022.126.18182.1———
MaskGIT#params=227M, CFG=False, Token Representation=vector-quantized tokens2024.066.18182.18051—
SeQ-GAN + AR-LParams=364M, Steps=2562022.126.25140.9———
MAGE#params=230M, CFG=False, Token Representation=vector-quantized tokens2024.066.93195.8———
BigGAN-DeepParams=160M, Steps=12022.126.95198.2———
RAR-BTraining epochs=400, #Parameters=261M, cfg=false2025.067.12124.8———
MoVQ + ARParams=389M, Steps=10242022.127.13138.3———
MoVQ + NARParams=389M, Steps=122022.127.22130.1———
SeQ-GAN + ARParams=229M, Steps=2562022.127.55121.3———
SiT-XLTraining epochs=800, #Parameters=675M, cfg=false2025.068.61131.7———
RQ-VAEParams=1.4B, Steps=10242022.128.71119———
LlamaGen-3BTraining epochs=300, #Parameters=3B, cfg=false2025.069.38112.9———
DiT-XL/2#params=675M, CFG=False, Token Representation=continuous-valued tokens2024.069.62121.56767—
LDM-4#params=400M, CFG=False, Token Representation=continuous-valued tokens2024.0610.56103.57162—
ADMFLOPS=110G, Resolution=256x2562024.1110.6————
ADMParams=554M, Steps=2502022.1210.94101———
ADM#params=554M, CFG=False, Token Representation=pixel-based2024.0610.941016963—
VIT-VQGANParams=714M, Steps=2562022.1211.297.2———
VQ-DiffusionParams=370M, Steps=1002022.1211.89————
Improved DDPMParams=280M, Steps=2502022.1212.26————
VQGANParams=1.4B, Steps=2562022.1215.7878.3———
Autoreg. w/ VQGAN#params=1.4B, CFG=False, Token Representation=vector-quantized tokens2024.0615.7878.3———
VQ-VAE-2Params=13.5B, Steps=51202022.1231.1145———
DCTParams=738M, Steps=>10242022.1236.51————
Baseline (AR)type=autoregressive2026.02—282.680592.02
Baseline (CDM)type=conditional diffusion modeling2026.02—259.681583.26
Baseline (L=1)GFlops=26.82024.12————31.1
De-MAR2026.02—305.883621.47
DiffiT2026.02—276.580621.73
DiT-L/2GFlops=80.02024.12————23.3
DiT-L/2 + REPAGFlops=80.02024.12————15.6
DiT-XL/2GFlops=118.62024.12————19.5
DiT-XL/2Model Scale=XL/22026.02—278.283572.27
DiT-XL/2 + REPAGFlops=118.62024.12————12.3
GIVT2026.02——84533.35
LDM-4downsampling factor=42026.02—247.787483.6
MAR2026.02—303.781621.55
MDTv2-XL/2Model Scale=XL/22026.02—314.779651.58