OptVQ (16x16x8)

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical4 results

Image ReconstructiononImageNet
FID· 2024-12-19
0.91
best: 0.49 (MGVQ (16x16x8))
SOTA
Preventing Local Pitfalls in Vector Quantization via Optimal Transport arXiv:2412.15195
Image ReconstructiononImageNet
LPIPS· 2024-12-19
0.066
SOTA
Preventing Local Pitfalls in Vector Quantization via Optimal Transport arXiv:2412.15195
Image ReconstructiononImageNet
PSNR· 2024-12-19
27.57
SOTA
Preventing Local Pitfalls in Vector Quantization via Optimal Transport arXiv:2412.15195
Image ReconstructiononImageNet
SSIM· 2024-12-19
0.729
best: 0.787 (MGVQ (16x16x8))
SOTA
Preventing Local Pitfalls in Vector Quantization via Optimal Transport arXiv:2412.15195