Dof-nerf: Depth-of-field meets neural radiance fields
Neural Radiance Field (NeRF) and its variants have exhibited great success on
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …
representing 3D scenes and synthesizing photo-realistic novel views. However, they are …
Dense depth-guided generalizable nerf
D Lee, KM Lee - IEEE Signal Processing Letters, 2023 - ieeexplore.ieee.org
Neural rendering approaches enable photo-realistic rendering on novel view synthesis
tasks while their per-scene optimization remains an issue for scalability. Recent methods …
tasks while their per-scene optimization remains an issue for scalability. Recent methods …
Baking neural radiance fields for real-time view synthesis
P Hedman, PP Srinivasan… - Proceedings of the …, 2021 - openaccess.thecvf.com
Neural volumetric representations such as Neural Radiance Fields (NeRF) have emerged
as a compelling technique for learning to represent 3D scenes from images with the goal of …
as a compelling technique for learning to represent 3D scenes from images with the goal of …
Mip-nerf 360: Unbounded anti-aliased neural radiance fields
Though neural radiance fields (" NeRF") have demonstrated impressive view synthesis
results on objects and small bounded regions of space, they struggle on" unbounded" …
results on objects and small bounded regions of space, they struggle on" unbounded" …
Fov-nerf: Foveated neural radiance fields for virtual reality
Virtual Reality (VR) is becoming ubiquitous with the rise of consumer displays and
commercial VR platforms. Such displays require low latency and high quality rendering of …
commercial VR platforms. Such displays require low latency and high quality rendering of …
Simplenerf: Regularizing sparse input neural radiance fields with simpler solutions
N Somraj, A Karanayil, R Soundararajan - SIGGRAPH Asia 2023 …, 2023 - dl.acm.org
Neural Radiance Fields (NeRF) show impressive performance for the photo-realistic free-
view rendering of scenes. However, NeRFs require dense sampling of images in the given …
view rendering of scenes. However, NeRFs require dense sampling of images in the given …
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 …
Nerfren: Neural radiance fields with reflections
Abstract Neural Radiance Fields (NeRF) has achieved unprecedented view synthesis
quality using coordinate-based neural scene representations. However, NeRF's view …
quality using coordinate-based neural scene representations. However, NeRF's view …
Plenoctrees for real-time rendering of neural radiance fields
We introduce a method to render Neural Radiance Fields (NeRFs) in real time using
PlenOctrees, an octree-based 3D representation which supports view-dependent effects …
PlenOctrees, an octree-based 3D representation which supports view-dependent effects …
Clean-NeRF: Reformulating NeRF to account for View-Dependent Observations
While Neural Radiance Fields (NeRFs) had achieved unprecedented novel view synthesis
results, they have been struggling in dealing with large-scale cluttered scenes with sparse …
results, they have been struggling in dealing with large-scale cluttered scenes with sparse …