Alpha-rooting color image enhancement for neural light field rendering
E Oluga, B Young, RL Hood… - … Image Exploitation and …, 2023 - spiedigitallibrary.org
In this paper, we explore the use of low-light image enhancement as a preprocessing step to
improve the quality of novel view synthesis by Neural Light Fields (NeLF). NeLF is a 3D …
improve the quality of novel view synthesis by Neural Light Fields (NeLF). NeLF is a 3D …
Efficient Neural Light Fields (ENeLF) for Mobile Devices
A Peng - arXiv preprint arXiv:2406.00598, 2024 - arxiv.org
Novel view synthesis (NVS) is a challenge in computer vision and graphics, focusing on
generating realistic images of a scene from unobserved camera poses, given a limited set of …
generating realistic images of a scene from unobserved camera poses, given a limited set of …
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
Real-time novel-view image synthesis on mobile devices is prohibitive due to the limited
computational power and storage. Using volumetric rendering methods, such as NeRF and …
computational power and storage. Using volumetric rendering methods, such as NeRF and …
Real-time neural light field on mobile devices
Abstract Recent efforts in Neural Rendering Fields (NeRF) have shown impressive results
on novel view synthesis by utilizing implicit neural representation to represent 3D scenes …
on novel view synthesis by utilizing implicit neural representation to represent 3D scenes …
Light field neural rendering
Classical light field rendering for novel view synthesis can accurately reproduce view-
dependent effects such as reflection, refraction, and translucency, but requires a dense view …
dependent effects such as reflection, refraction, and translucency, but requires a dense view …
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the encouraging
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
potential to represent complex scenes with neural networks. One major drawback of NeRF is …
MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields
T Kaneko - Proceedings of the IEEE/CVF International …, 2023 - openaccess.thecvf.com
Neural radiance fields (NeRFs) have shown impressive results for novel view synthesis.
However, they depend on the repetitive use of a single-input single-output multilayer …
However, they depend on the repetitive use of a single-input single-output multilayer …
Learning generalizable light field networks from few images
Q Li, F Multon, A Boukhayma - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
We explore a new strategy for few-shot novel view synthesis based on a neural light field
representation. Given a target camera pose, an implicit neural network maps each ray to its …
representation. Given a target camera pose, an implicit neural network maps each ray to its …
Aleth-NeRF: Low-light condition view synthesis with concealing fields
Common capture low-light scenes are challenging for most computer vision techniques,
including Neural Radiance Fields (NeRF). Vanilla NeRF is viewer-centred simplifies the …
including Neural Radiance Fields (NeRF). Vanilla NeRF is viewer-centred simplifies the …
Neural Radiance Fields (NeRFs): A Review and Some Recent Developments
M Debbagh - arXiv preprint arXiv:2305.00375, 2023 - arxiv.org
Neural Radiance Field (NeRF) is a framework that represents a 3D scene in the weights of a
fully connected neural network, known as the Multi-Layer Perception (MLP). The method …
fully connected neural network, known as the Multi-Layer Perception (MLP). The method …