… Another emerging direction utilizes the neural light field (NeLF) for … is not mobile-friendly.
In this work, we propose an efficient network that runs in real-time on mobile devices for neural …

… 31] studying how to accelerate training and rendering of NeRF, but in the following, we
focus on recent methods that achieve real-time rendering with or without mobile devices. …

… lens array-based light field cameras manufactured by Lytro … single light field camera and a
convolutional neural network … -camera method is appropriate for light field imaging techniques. …

… for mobile devices due to the high computational cost of volumetric rendering. Emerging
research in neural light fields … Real-time neural light field on mobile devices.” Proceedings of the …

… mobile devices in real-time. No additional 3D training data is required in our method. Based
on neural light fields (… 3D synthesis methods that rely on neural radiance fields (NeRF). As a …

… of a 360-degree light field and subsequent real-time novel view … light fields as neural scene
representations. We introduce a novel neural field parameterization of 360-degree light fields…

… light field imaging, light field datasets, and semantic segmentation in Section II. The construction
of the benchmark light field … grid based approach for real-time LiDAR ground segmenta…

… trend, light field cameras could find its way into mobile devices, such as mobile phones and
… times and resources, which is still a barrier for real-time depth estimation from light fields. …

… it supports real-time extraction on the server and real-time video recovery on a mobile device,
and (… power and resources on mobile devices, we use a single neural network model for all …

… paper, we present a novel neural network based technique called deep surface light …
real-time performance even on low-end GPUs, the solution is not yet real-time on mobile devices. …