463 citations · 790 across the 24 of their papers we have counts for
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cs.CV2026
LuMon: A Comprehensive Benchmark and Development Suite with Novel Datasets for Lunar Monocular Depth Estimation
Aytaç Sekmen, Fatih Emre Gunes, Furkan Horoz +9
Monocular Depth Estimation (MDE) is crucial for autonomous lunar rover navigation using electro-optical cameras. However, deploying terrestrial MDE networks to the Moon brings a se…
cs.LG2026
Policy-based Tuning of Autoregressive Image Models with Instance- and Distribution-Level Rewards
Orhun Bugra Baran, Melih Kandemir, Ramazan Gokberk Cinbis
Autoregressive (AR) models are highly effective for image generation, yet their standard maximum-likelihood estimation training lacks direct optimization for sample quality and div…