Lefei Zhang

Unified image restoration methods can now be rigorously compared across real-world conditions, with 20 teams showcasing innovative solutions that push the boundaries of restoration accuracy.

Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.

LLM inference gets a 2x speed boost without training, thanks to a clever technique that merges retrieval with logit-based speculation.