Nerf: Neural radiance field in 3d vision, a comprehensive review
Neural Radiance Field (NeRF), a new novel view synthesis with implicit scene
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
representation has taken the field of Computer Vision by storm. As a novel view synthesis …
Multi-view stereo in the deep learning era: A comprehensive review
X Wang, C Wang, B Liu, X Zhou, L Zhang, J Zheng… - Displays, 2021 - Elsevier
Multi-view stereo infers the 3D geometry from a set of images captured from several known
positions and viewpoints. It is one of the most important components of 3D reconstruction …
positions and viewpoints. It is one of the most important components of 3D reconstruction …
One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization
Single image 3D reconstruction is an important but challenging task that requires extensive
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
knowledge of our natural world. Many existing methods solve this problem by optimizing a …
Hexplane: A fast representation for dynamic scenes
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
approaches build on NeRF and rely on implicit representations. This is slow since it requires …
Generative novel view synthesis with 3d-aware diffusion models
We present a diffusion-based model for 3D-aware generative novel view synthesis from as
few as a single input image. Our model samples from the distribution of possible renderings …
few as a single input image. Our model samples from the distribution of possible renderings …
One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion
Recent advancements in open-world 3D object generation have been remarkable with
image-to-3D methods offering superior fine-grained control over their text-to-3D …
image-to-3D methods offering superior fine-grained control over their text-to-3D …
Freenerf: Improving few-shot neural rendering with free frequency regularization
Novel view synthesis with sparse inputs is a challenging problem for neural radiance fields
(NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as …
(NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as …
Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation
We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
We introduce MVSplat, an efficient model that, given sparse multi-view images as input,
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
Fsgs: Real-time few-shot view synthesis using gaussian splatting
Novel view synthesis from limited observations remains a crucial and ongoing challenge. In
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …
the realm of NeRF-based few-shot view synthesis, there is often a trade-off between the …