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20182026
most citedModel-Free Robust Average-Reward Reinforcement Learning

3 citations · 3 across the 9 of their papers we have counts for

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cs.CV2026

MG-SpaIR: Multi-grade Sparse-guided Implicit Representation for Training-Data-Free Image Restoration

Jianmin Liao, Lei Huang, Ronglong Fang +3

MG-SpaIR is a training-data-free framework for restoring a clean image from a single observation corrupted by a mixture of blur, downsampling, noise, and missing pixels. Building o…