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Bakedsdf: Meshing neural sdfs for real-time view synthesis
We present a method for reconstructing high-quality meshes of large unbounded real-world
scenes suitable for photorealistic novel view synthesis. We first optimize a hybrid neural …
scenes suitable for photorealistic novel view synthesis. We first optimize a hybrid neural …
Plenoxels: Radiance fields without neural networks
We introduce Plenoxels (plenoptic voxels), a system for photorealistic view synthesis.
Plenoxels represent a scene as a sparse 3D grid with spherical harmonics. This …
Plenoxels represent a scene as a sparse 3D grid with spherical harmonics. This …
Nerf-editing: geometry editing of neural radiance fields
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 …
potential in novel view synthesis of a scene. However, current NeRF-based methods cannot …
Barf: Bundle-adjusting neural radiance fields
Abstract Neural Radiance Fields (NeRF) have recently gained a surge of interest within the
computer vision community for its power to synthesize photorealistic novel views of real …
computer vision community for its power to synthesize photorealistic novel views of real …
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 …
Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps
NeRF synthesizes novel views of a scene with unprecedented quality by fitting a neural
radiance field to RGB images. However, NeRF requires querying a deep Multi-Layer …
radiance field to RGB images. However, NeRF requires querying a deep Multi-Layer …
Editing conditional radiance fields
A neural radiance field (NeRF) is a scene model supporting high-quality view synthesis,
optimized per scene. In this paper, we explore enabling user editing of a category-level …
optimized per scene. In this paper, we explore enabling user editing of a category-level …
Efficientnerf efficient neural radiance fields
Abstract Neural Radiance Fields (NeRF) has been wildly applied to various tasks for its high-
quality representation of 3D scenes. It takes long per-scene training time and per-image …
quality representation of 3D scenes. It takes long per-scene training time and per-image …
Nerf: Representing scenes as neural radiance fields for view synthesis
We present a method that achieves state-of-the-art results for synthesizing novel views of
complex scenes by optimizing an underlying continuous volumetric scene function using a …
complex scenes by optimizing an underlying continuous volumetric scene function using a …
Nex: Real-time view synthesis with neural basis expansion
We present NeX, a new approach to novel view synthesis based on enhancements of
multiplane image (MPI) that can reproduce next-level view-dependent effects--in real time …
multiplane image (MPI) that can reproduce next-level view-dependent effects--in real time …