We propose a novel framework to reconstruct the human and the scene that can be rendered with novel human poses and views from just a single in-the-wild video. Given a video captured by a moving camera, we train two NeRF models: a human NeRF model and a scene NeRF model. To train ...
3. Neural Residual Radiance Field In this section, we introduce the details about the pro- posed ReRF representation for dynamic scenes (Sec. 3.1), followed by a companion training scheme to generate ReRF from RGB video inputs (Sec. 3.2). 3.1. Motion-aware...
NeRF是针对一个静态场景的辐射场,本文的方法基于NeRF,称作dynamic neural radiance field(CyNeRF)它直接根据用多个摄像机捕获的输入视频进行优化。 2.1 Representation 一种直观的思路来建立动态NeRF的表示就是直接在输入中加入时间维度 $t$ 在这里插入图片描述 但是作者指出,根据经验发现,对于这种设计来说,很难捕捉复杂...
Static-Scene Video Compression with Neural Radiance Fields We study how to efficiently compress static-scene video, which captures a static scene from continuous viewpoints. The static-scene videos have emerged as ... R Yang,D Liu,F Wu,... - Data Compression Conference 被引量: 0发表: 0年...
We propose a novel dynamic neural radiance field based on temporal latent codes that achieves high quality 3D video synthesis of complex, dynamic real-world scenes. • We present novel training strategies based on hierarchical training and importance sampling in the spatiotemporal domain, which boost...
unity mesh nerf view-synthesis neural-radiance-fields mobilenerf Updated Sep 1, 2023 C# ActiveVisionLab / nope-nerf Star 384 Code Issues Pull requests (CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior nerf pose-estimation novel-view-synthesis neural-radiance-fields...
(2022), we map each point in theR33D space to a unit vector pointing towards the closest surface point. We mathematically demonstrate that the surface points can be recovered at the−1level set of the flux density of VF. The proposed vector field allows us to represent both open and ...
What is a neural radiance field (NeRF)? Neural radiance fields (NeRFs) are a technique that generates 3D representations of an object or scene from 2D images by using advanced machine learning. The technique involves encoding the entire object or scene into an artificialneural network, which pred...
the comparison to baselines using a perceptual video met- ric. We train all the neural radiance field based baselines and our method the same number of iterations for fair com- parison. Compared to the existing methods, MVS, Neu- ralVolumes and LLFF, our method is able capture and ren-...
Editable Free-Viewpoint Video using a Layered Neural Representationjiakai-zhang.github.io/st-nerf/ 方法 本文先通过多视角的几何关系(Multi-view stereo)将场景分成若干动态的人物和静态的背景,对每个人物(包括背景)都用一个spatially and temporally consistent neural radiance field(包含时间和空间信息的神经网...