Structured Lighting to Enhance Global Image Feature Sensitivity Promising Results in Its Application for a Neural Network Based Robot Fine Positioning Ramachandram, D. and M. Rajeswari (2000). Structured lighting to enhance global image feature sensitivity in a neural network based robot-positioning ...
• D-NeRF(Pumarola 等人,2020)与 Nerfies 论文非常相似,甚至使用相同的缩写词,但似乎限制了翻译的变形。 • Neural Scene Flow Fields神经场景流场(Li et al., 2020)采用已知相机姿势的单目视频作为输入,但使用深度预测作为先验,并通过输出场景流进行正则化,用于损失。 • Space-Time Neural Irradiance Field...
A typical neural rendering approach takes as input images corresponding to certain scene conditions (for example, viewpoint, lighting, layout, etc.), builds a “neural” scene representation from them, and “renders” this representation under novel scene properties to synthesize novel images. CVPR ...
[ECCV 2022] Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis 丨[Project Page] [CVPR 2022 Oral] Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields | [Project Page] [CVPR 2022] NeRF-Editing: Geometry Editing of Neural Radianc...
D-NeRF: Neural Radiance Fields for Dynamic Scenes Deformable Neural Radiance Fields Neural Radiance ...
While this might be acceptable for a static snapshot of a scene, directly re- constructing a dynamic scene as a sequence of per-frame neural radiance fields would be prohibitive as both stor- age and training time increase linearly with time. For example, to represent a 10 second, 30 F...
One-dimensional spatial firing fields were calculated for each trajectory and neuron with at least seven flights, a minimum of four flights with spikes and a minimum of 15 spikes across all flights (n = 247 cells from four bats). To compute the 1D fields, we used a procedure similar ...
Experiments on data sets in many fields show that the algorithm in this paper has good clustering performance and is suitable for high-dimensional data sets. In addition, EDS-SC is especially suitable for datasets with a small number of classes due to the introduction of elastic net ...
NeRF Editing leverages the power of Neural Radiance Fields to manipulate and edit 3D scenes or objects in a highly realistic and immersive manner. This emerging field holds immense potential for a wide range of applications, including virtual reality, augmented reality, content creation, and more.Ho...
Extracting triangular 3d models, materials, and lighting from images. In CVPR, 2022. 2 [27] Michael Oechsle, Songyou Peng, and Andreas Geiger. UNISURF: unifying neural implicit surfaces and radiance fields for multi-view reconstruction. In ICCV, 2021. 2 ...