Metric: LPIPS (lower is better)
| # | Model↕ | LPIPS▲ | Extra Data | Paper | Date↕ | Code |
|---|---|---|---|---|---|---|
| 1 | OptVQ (16x16x8) | 0.066 | No | Preventing Local Pitfalls in Vector Quantization... | 2024-12-19 | Code |
| 2 | OptVQ (16x16x4) | 0.076 | No | Preventing Local Pitfalls in Vector Quantization... | 2024-12-19 | Code |
| 3 | MGVQ (16x16x8) | 0.086 | No | MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tok... | 2025-07-10 | Code |
| 4 | MGVQ (16x16x4) | 0.11 | No | MGVQ: Could VQ-VAE Beat VAE? A Generalizable Tok... | 2025-07-10 | Code |
| 5 | Mo-VQGAN (16x16x4) | 0.113 | No | MoVQ: Modulating Quantized Vectors for High-Fide... | 2022-09-19 | Code |
| 6 | VQGAN-LC (16x16) | 0.12 | No | Scaling the Codebook Size of VQGAN to 100,000 wi... | 2024-06-17 | Code |
| 7 | Taming-VQGAN (16x16) | 0.177 | No | Taming Transformers for High-Resolution Image Sy... | 2020-12-17 | Code |
| 8 | GigaTok-XL-XXL | 0.1947 | No | GigaTok: Scaling Visual Tokenizers to 3 Billion ... | 2025-04-11 | Code |
| 9 | IBQ (16x16) | 0.203 | No | Taming Scalable Visual Tokenizer for Autoregress... | 2024-12-03 | Code |