Magic3d: High-resolution text-to-3d content creation
Recently, DreamFusion demonstrated the utility of a pretrained text-to-image diffusion model
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis …
Efficient geometry-aware 3d generative adversarial networks
Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using
only collections of single-view 2D photographs has been a long-standing challenge …
only collections of single-view 2D photographs has been a long-standing challenge …
Block-nerf: Scalable large scene neural view synthesis
Abstract We present Block-NeRF, a variant of Neural Radiance Fields that can represent
large-scale environments. Specifically, we demonstrate that when scaling NeRF to render …
large-scale environments. Specifically, we demonstrate that when scaling NeRF to render …
Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields
The rendering procedure used by neural radiance fields (NeRF) samples a scene with a
single ray per pixel and may therefore produce renderings that are excessively blurred or …
single ray per pixel and may therefore produce renderings that are excessively blurred or …
Neuralangelo: High-fidelity neural surface reconstruction
Neural surface reconstruction has been shown to be powerful for recovering dense 3D
surfaces via image-based neural rendering. However, current methods struggle to recover …
surfaces via image-based neural rendering. However, current methods struggle to recover …
Surface reconstruction from point clouds: A survey and a benchmark
Reconstruction of a continuous surface of two-dimensional manifold from its raw, discrete
point cloud observation is a long-standing problem in computer vision and graphics …
point cloud observation is a long-standing problem in computer vision and graphics …
Monosdf: Exploring monocular geometric cues for neural implicit surface reconstruction
In recent years, neural implicit surface reconstruction methods have become popular for
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
multi-view 3D reconstruction. In contrast to traditional multi-view stereo methods, these …
Volume rendering of neural implicit surfaces
Neural volume rendering became increasingly popular recently due to its success in
synthesizing novel views of a scene from a sparse set of input images. So far, the geometry …
synthesizing novel views of a scene from a sparse set of input images. So far, the geometry …
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 …
Decomposing nerf for editing via feature field distillation
Emerging neural radiance fields (NeRF) are a promising scene representation for computer
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …