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Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks
In this work, we focus on outdoor lighting estimation by aggregating individual noisy estimates from images, exploiting the rich image information from wide-angle cameras and/or temporal image sequences.
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
3D reconstruction of depth and motion from monocular video in dynamic environments is a highly ill-posed problem due to scale ambiguities when projecting to the 2D image domain.
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