Remote sighted assistance (RSA) has emerged as a conversational technology aiding
people with visual impairments (VI) through real-time video chat communication with sighted …

This paper presents a novel neural implicit radiance representation for free viewpoint
relighting from a small set of unstructured photographs of an object lit by a moving point light …

We present a method for estimating lighting from a single perspective image of an indoor
scene. Previous methods for predicting indoor illumination usually focus on either simple …

Diffusion models have enabled high-quality, conditional image editing capabilities. We
propose to expand their arsenal, and demonstrate that off-the-shelf diffusion models can be …

An accurate understanding of omnidirectional environment lighting is crucial for high-quality
virtual object rendering in mobile augmented reality (AR). In particular, to support reflective …

Deep learning (DL) models have been recently widely used to extract task-oriented patterns
from large scale of datasets, and to improve the data image understanding and analysis …

Real-world autonomous driving datasets comprise of images aggregated from different
drives on the road. The ability to relight captured scenes to unseen lighting conditions, in a …

Estimating lighting from standard images can effectively circumvent the need for resource-
intensive high-dynamic-range (HDR) lighting acquisition. However, this task is often ill …

One-light-at-a-time (OLAT) images sample a broader range of object appearance changes
than images captured under constant lighting and are superior as input to object relighting …

Hand in hand with the rapid development of machine learning, deep learning and
generative AI algorithms and architectures, the graphics community has seen a remarkable …