HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Image Reconstruction On Imagenet

평가 지표

FID
LPIPS
PSNR
SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
FID
LPIPS
PSNR
SSIM
Paper TitleRepository
Taming-VQGAN (16x16)3.640.17719.930.542Taming Transformers for High-Resolution Image Synthesis
Open-Magvit2 (16x16)1.17-21.90-Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
TiTok-S-1281.71---An Image is Worth 32 Tokens for Reconstruction and Generation
VQGAN-LC (16x16)2.620.12023.800.589Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
OptVQ (16x16x8)0.910.06627.570.729Preventing Local Pitfalls in Vector Quantization via Optimal Transport
MaskBit (16x16)1.66---MaskBit: Embedding-free Image Generation via Bit Tokens
IBQ (16x16)1.000.2030--Taming Scalable Visual Tokenizer for Autoregressive Image Generation-
ViT-VQGAN (16x16)1.28---Vector-quantized Image Modeling with Improved VQGAN
MaskGIT-VQGAN (16x16)2.28---MaskGIT: Masked Generative Image Transformer
RQ-VAE (8x8x16)1.83---Autoregressive Image Generation using Residual Quantization
OptVQ (16x16x4)1.000.07626.590.717Preventing Local Pitfalls in Vector Quantization via Optimal Transport
Mo-VQGAN (16x16x4)1.120.11322.420.673MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
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