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HyperAI超神经

Image Reconstruction On Imagenet

评估指标

FID

LPIPS

PSNR

SSIM

评测结果

各个模型在此基准测试上的表现结果

					Paper Title	Repository
Taming-VQGAN (16x16)	3.64	0.177	19.93	0.542	Taming Transformers for High-Resolution Image Synthesis
VQGAN-LC (16x16)	2.62	0.120	23.80	0.589	Scaling the Codebook Size of VQGAN to 100,000 with a Utilization Rate of 99%
MaskGIT-VQGAN (16x16)	2.28	-	-	-	MaskGIT: Masked Generative Image Transformer
RQ-VAE (8x8x16)	1.83	-	-	-	Autoregressive Image Generation using Residual Quantization
TiTok-S-128	1.71	-	-	-	An Image is Worth 32 Tokens for Reconstruction and Generation
MaskBit (16x16)	1.66	-	-	-	MaskBit: Embedding-free Image Generation via Bit Tokens
ViT-VQGAN (16x16)	1.28	-	-	-	Vector-quantized Image Modeling with Improved VQGAN
Open-Magvit2 (16x16)	1.17	-	21.90	-	Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation
Mo-VQGAN (16x16x4)	1.12	0.113	22.42	0.673	MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
IBQ (16x16)	1.00	0.2030	-	-	Scalable Image Tokenization with Index Backpropagation Quantization
OptVQ (16x16x4)	1.00	0.076	26.59	0.717	Preventing Local Pitfalls in Vector Quantization via Optimal Transport
OptVQ (16x16x8)	0.91	0.066	27.57	0.729	Preventing Local Pitfalls in Vector Quantization via Optimal Transport

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Image Reconstruction On Imagenet | SOTA | HyperAI超神经