Qiurong Song

A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.

Forget novel architectures: massive datasets and clever training schedules can unlock surprisingly large gains in image denoising, even with established models.

Achieve state-of-the-art super-resolution by ensembling existing models *without any training*, proving that smart combination beats further architectural complexity.