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Found 7 papers, 2 papers with code
Exploring Generative AI for Sim2Real in Driving Data Synthesis
A comparative analysis of these methods is presented from the perspective of image quality and perception.
Deep Dynamic Cloud Lighting
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.
Unsupervised HDR Imaging: What Can Be Learned from a Single 8-bit Video?
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.
Deep HDR Hallucination for Inverse Tone Mapping
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content.
Spectrally Consistent UNet for High Fidelity Image Transformations
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.
Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments
Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner.
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
This paper presents a method for generating HDR content from LDR content based on deep Convolutional Neural Networks (CNNs) termed ExpandNet.
