17 citations · 50 across the 14 of their papers we have counts for
14 papers
DriveCtrl: Conditioned Sim-to-Real Driving Video Generation
Haonan Zhao, Yiting Wang, Jingkun Chen +3
Large-scale labelled driving video data is essential for training autonomous driving systems. Although simulation offers scalable and fully annotated data, the domain gap between s…
Path Space Partitioning and Guided Image Sampling for MCMC
Thomas Bashford-Rogers, Luis Paulo Santos
Rendering algorithms typically integrate light paths over path space. However, integrating over this one unified space is not necessarily the most efficient approach, and we show t…
CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain
Jingchao Peng, Thomas Bashford-Rogers, Zhuang Shao +4
Infrared (IR) imaging offers advantages in several fields due to its unique ability of capturing content in extreme light conditions. However, the demanding hardware requirements o…
Luminance Component Analysis for Exposure Correction
Jingchao Peng, Thomas Bashford-Rogers, Jingkun Chen +3
Exposure correction methods aim to adjust the luminance while maintaining other luminance-unrelated information. However, current exposure correction methods have difficulty in ful…
HDRT: A Large-Scale Dataset for Infrared-Guided HDR Imaging
Jingchao Peng, Thomas Bashford-Rogers, Francesco Banterle +2
Capturing images with enough details to solve imaging tasks is a long-standing challenge in imaging, particularly due to the limitations of standard dynamic range (SDR) images whic…
Semantic Aware Diffusion Inverse Tone Mapping
Abhishek Goswami, Aru Ranjan Singh, Francesco Banterle +2
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…
Exploring Generative AI for Sim2Real in Driving Data Synthesis
Haonan Zhao, Yiting Wang, Thomas Bashford-Rogers +2
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…
Deep Dynamic Cloud Lighting
Pinar Satilmis, Thomas Bashford-Rogers
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 s…
Towards Quantum Ray Tracing
Luís Paulo Santos, Thomas Bashford-Rogers, João Barbosa +1
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 s…
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
Francesco Banterle, Demetris Marnerides, Kurt Debattista +1
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…
Deep HDR Hallucination for Inverse Tone Mapping
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
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 m…
Spectrally Consistent UNet for High Fidelity Image Transformations
Demetris Marnerides, Thomas Bashford-Rogers, Kurt Debattista
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 u…
Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers +4
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…
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
Demetris Marnerides, Thomas Bashford-Rogers, Jonathan Hatchett +1
High dynamic range (HDR) imaging provides the capability of handling real world lighting as opposed to the traditional low dynamic range (LDR) which struggles to accurately represe…