How VARSR Redefines Image Super‑Resolution with Autoregressive Modeling
The VARSR algorithm introduces autoregressive modeling to image super‑resolution, leveraging prefix tokens, scale‑aligned rotary positional encodings, quantization error correction, and image‑quality‑guided diffusion to achieve faster inference and superior visual fidelity, as demonstrated by extensive ICML‑2025 experiments.
