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cs.CV2026
A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks
Cristian Comellas, Julia Navarro, Antoni Buades
Image denoising remains a fundamental problem in image restoration, with applications in photography, biomedical, and scientific imaging. Modern deep neural networks achieve strong…
cs.CV2021
Compact and adaptive multiplane images for view synthesis
Julia Navarro, Neus Sabater
Recently, learning methods have been designed to create Multiplane Images (MPIs) for view synthesis. While MPIs are extremely powerful and facilitate high quality renderings, a gre…
cs.CV2019★ 11 cited
Learning Occlusion-Aware View Synthesis for Light Fields
Julia Navarro, Neus Sabater
In this work, we present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented…