Mar 19, 2020 · Abstract page for arXiv paper 2003.08934: 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 sparse set of...

Oct 1, 2022 · Our survey is organized into architecture and application-based taxonomies and provides an introduction to the theory of NeRF and its training via differentiable volume rendering. We also present a benchmark comparison of the performance and speed of key NeRF models.

By efficiently rendering anti-aliased conical frustums instead of rays, our followup, mip-NeRF, reduces objectionable aliasing artifacts and significantly improves NeRF's ability to represent fine details, while also being 7% faster than NeRF and half the size.

NeRF-SOS: Any-view Self-supervised Object Segmentation on Complex Real-world Scenes, Fan et al., ICLR 2023 | bibtex Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion , Bhalgat et al., NeurIPS 2023 ( Spotlight ) | bibtex

Apr 30, 2023 · Abstract: Neural Radiance Field (NeRF) is a framework that represents a 3D scene in the weights of a fully connected neural network, known as the Multi-Layer Perception(MLP). The method was introduced for the task of novel view synthesis and is able to achieve state-of-the-art photorealistic image renderings from a given continuous viewpoint.

标题中提到的 NeRF ，全称neural radiance field，本质上，这篇工作是想通过隐式建模+显式渲染的方式，即场景的建模是通过神经网络，而场景的渲染，则是通过传统的渲染方式来进行。最开始提出的第1个问题，是图像领域的常见做法，把所有过程都用一个网络来model ...

DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing Paper Project. Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training Paper Project. Geometry Transfer for Stylizing Radiance Fields Paper Project

NeRF represents a scene with learned, continuous volumetric radiance field $F_\theta$ defined over a bounded 3D volume. In a NeRF, $F_\theta$ is a multilayer perceptron (MLP) that takes …

All NeRF-related papers @ CVPR/ICCV/ECCV/NIPS/ICML/ICLR - lif314/awesome-NeRF-papers

Neural Radiance Fields (NeRF) is a method for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. The dataset contains three parts with the first 2 being synthetic renderings of objects called Diffuse Synthetic 360 and Realistic Synthetic 360 while the ...