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cs.CV2025
A Framework for Low-Effort Training Data Generation for Urban Semantic Segmentation
Damjan Kalšan, Denis Zavadski, Tim Küchler +3
Synthetic datasets are widely used for training urban scene recognition models, but even highly realistic renderings show a noticeable gap to real imagery. This gap is particularly…
cs.CV2022
Spatio-Temporal Outdoor Lighting Aggregation on Image Sequences using Transformer Networks
Haebom Lee, Christian Homeyer, Robert Herzog +2
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 te…