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cs.CV2023
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon +1
Self-supervised monocular depth estimation (DE) is an approach to learning depth without costly depth ground truths. However, it often struggles with moving objects that violate th…
cs.CV2023
ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields
Juan Luis Gonzalez Bello, Minh-Quan Viet Bui, Munchurl Kim
Recent advances in neural rendering have shown that, albeit slow, implicit compact models can learn a scene's geometries and view-dependent appearances from multiple views. To main…
cs.CV2023
Novel View Synthesis with View-Dependent Effects from a Single Image
Juan Luis Gonzalez Bello, Munchurl Kim
In this paper, we firstly consider view-dependent effects into single image-based novel view synthesis (NVS) problems. For this, we propose to exploit the camera motion priors in N…