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cs.CV2023
RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields
Doriand Petit, Steve Bourgeois, Dumitru Pavel +3
Recent advances in Neural Fields mostly rely on developing task-specific supervision which often complicates the models. Rather than developing hard-to-combine and specific modules…
cs.CV2023
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable Uncertainty
Rémi Marsal, Florian Chabot, Angelique Loesch +2
Self-supervised monocular depth estimation methods aim to be used in critical applications such as autonomous vehicles for environment analysis. To circumvent the potential imperfe…