Název:	Lightweight single image dehazing utilizing relative depth information
Autoři:	Frasiolas, Panagiotis Reppas, Asterios Konstantoudakis, Konstantinos Zarpalos, Dimitrios
Citace zdrojového dokumentu:	WSCG 2024: full papers proceedings: 32. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 349-358.
Datum vydání:	2024
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/57409
ISSN:	2464–4625 (online) 2464–4617 (print)
Klíčová slova:	lehká váha;transformátory vidění;relativní hloubka;dehazování
Klíčová slova v dalším jazyce:	lightweight;vision transformers;relative depth;dehazing
Abstrakt v dalším jazyce:	Considering the need for lightweight and fast implementations, this paper presents an architecture based on a Mo bileVit encoder for efficiency and speed, introducing a fully convolutional lightweight decoder with skip connec tions for feature extraction. The main purpose of this network is to address the problem of single image dehazing. Recognizing the critical role of depth information in assisting the above task, the merging of these two tasks into a single network was performed in a supervised manner. Taking into account that there is a shortage of datasets that provide both dehazing and relative depth estimation ground truths, Depth Anything was utilized to extract the relative depth values of the images, which is the SOTA network in this task
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	WSCG 2024: Full Papers Proceedings

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.