Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Bashford-Rogers, Thomas"'
Capturing real world lighting is a long standing challenge in imaging and most practical methods acquire High Dynamic Range (HDR) images by either fusing multiple exposures, or boosting the dynamic range of Standard Dynamic Range (SDR) images. Multip
Externí odkaz:
http://arxiv.org/abs/2406.05475
Autor:
Goswami, Abhishek, Singh, Aru Ranjan, Banterle, Francesco, Debattista, Kurt, Bashford-Rogers, Thomas
The range of real-world scene luminance is larger than the capture capability of many digital camera sensors which leads to details being lost in captured images, most typically in bright regions. Inverse tone mapping attempts to boost these captured
Externí odkaz:
http://arxiv.org/abs/2405.15468
Datasets are essential for training and testing vehicle perception algorithms. However, the collection and annotation of real-world images is time-consuming and expensive. Driving simulators offer a solution by automatically generating various drivin
Externí odkaz:
http://arxiv.org/abs/2404.09111
Sky illumination is a core source of lighting in rendering, and a substantial amount of work has been developed to simulate lighting from clear skies. However, in reality, clouds substantially alter the appearance of the sky and subsequently change t
Externí odkaz:
http://arxiv.org/abs/2304.09317
Rendering on conventional computers is capable of generating realistic imagery, but the computational complexity of these light transport algorithms is a limiting factor of image synthesis. Quantum computers have the potential to significantly improv
Externí odkaz:
http://arxiv.org/abs/2204.12797
Recently, Deep Learning-based methods for inverse tone-mapping standard dynamic range (SDR) images to obtain high dynamic range (HDR) images have become very popular. These methods manage to fill over-exposed areas convincingly both in terms of detai
Externí odkaz:
http://arxiv.org/abs/2202.05522
Publikováno v:
Sensors 2021, 21, 4032
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure
Externí odkaz:
http://arxiv.org/abs/2106.09486
Convolutional Neural Networks (CNNs) are the current de-facto models used for many imaging tasks due to their high learning capacity as well as their architectural qualities. The ubiquitous UNet architecture provides an efficient and multi-scale solu
Externí odkaz:
http://arxiv.org/abs/2004.10696
Autor:
Doukakis, Efstratios, Debattista, Kurt, Bashford-Rogers, Thomas, Dhokia, Amar, Asadipour, Ali, Chalmers, Alan, Harvey, Carlo
Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which require realistic representations of real world environments, the VEs
Externí odkaz:
http://arxiv.org/abs/2002.02671
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.