Real-time neural light field on mobile devices

J Cao, H Wang, P Chemerys… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Nerf-editing: geometry editing of neural radiance fields

YJ Yuan, YT Sun, YK Lai, Y Ma… - Proceedings of the …, 2022 - openaccess.thecvf.com
Implicit neural rendering, especially Neural Radiance Field (NeRF), has shown great
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …

Mip-grid: Anti-aliased grid representations for neural radiance fields

S Nam, D Rho, JH Ko, E Park - Advances in Neural …, 2023 - proceedings.neurips.cc
Despite the remarkable achievements of neural radiance fields (NeRF) in representing 3D
scenes and generating novel view images, the aliasing issue, rendering'jaggies' …

Ray Deformation Networks for Novel View Synthesis of Refractive Objects

W Deng, D Campbell, C Sun… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) have demonstrated exceptional capabilities in
creating photorealistic novel views using volume rendering on a radiance field. However …

Fastnerf: High-fidelity neural rendering at 200fps

SJ Garbin, M Kowalski, M Johnson… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Recent work on Neural Radiance Fields (NeRF) showed how neural networks can
be used to encode complex 3D environments that can be rendered photorealistically from …

Strata-NeRF: Neural Radiance Fields for Stratified Scenes

A Dhiman, R Srinath, H Rangwani… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) approaches learn the underlying 3D representation
of a scene and generate photo-realistic novel views with high fidelity. However, most …

De-nerf: Decoupled neural radiance fields for view-consistent appearance editing and high-frequency environmental relighting

T Wu, JM Sun, YK Lai, L Gao - ACM SIGGRAPH 2023 conference …, 2023 - dl.acm.org
Neural Radiance Fields (NeRF) have shown promising results in novel view synthesis.
While achieving state-of-the-art rendering results, NeRF usually encodes all properties …

Gen-nerf: Efficient and generalizable neural radiance fields via algorithm-hardware co-design

Y Fu, Z Ye, J Yuan, S Zhang, S Li, H You… - Proceedings of the 50th …, 2023 - dl.acm.org
Novel view synthesis is an essential functionality for enabling immersive experiences in
various Augmented-and Virtual-Reality (AR/VR) applications, for which Neural Radiance …

Steernerf: Accelerating nerf rendering via smooth viewpoint trajectory

S Li, H Li, Y Wang, Y Liao, L Yu - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Abstract Neural Radiance Fields (NeRF) have demonstrated superior novel view synthesis
performance but are slow at rendering. To speed up the volume rendering process, many …

Fast dynamic radiance fields with time-aware neural voxels

J Fang, T Yi, X Wang, L Xie, X Zhang, W Liu… - SIGGRAPH Asia 2022 …, 2022 - dl.acm.org
Neural radiance fields (NeRF) have shown great success in modeling 3D scenes and
synthesizing novel-view images. However, most previous NeRF methods take much time to …