这使得我们的模型在导航性能方面优于现有的基于记忆的认知导航结构。 NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields https://arxiv.org/abs/2411.02482 Eric Zhu, Mara Levy, Matthew Gwilliam, Abhinav Shrivastava University of Maryland 训练一种可以泛化到未知物体的策略是机器人领域的长期...
LiDAR Data Simulation 激光雷达数据仿真的目的是利用激光雷达测量数据来增强神经场景表示，从而促进从新视角...
We hereby present GeoAug: a data augmentation method for NeRF, which enriches training data based on multi-view geometric constraint. GeoAug provides random artificial (novel pose, RGB image) pairs for training, where the RGB image is from a nearby training view. The rendering of a novel ...
The augmentation procedure described in [35] is used for training. For PSMNet and CFNet, we set dmax to 256 and disabled ImageNet nor- malization. We use learning rate schedules and optimizers as in [10, 35, 63]. In our experiments, we fix β = 0.85, th = 0.5, γ3ρ = 0.1 and...
2025-03-03 Data Augmentation for NeRFs in the Low Data Limit Ayush Gaggar et.al. 2503.02092 null 2025-03-03 Difix3D+: Improving 3D Reconstructions with Single-Step Diffusion Models Jay Zhangjie Wu et.al. 2503.01774 null 2025-03-05 Category-level Meta-learned NeRF Priors for Efficient Object...
Improved Generalization of Weight Space Networks via Augmentations Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron arXiv preprint, 6 Feb 2024 [arXiv] Vosh: Voxel-Mesh Hybrid Representation for Real-Time View Synthesis Chenhao Zhang, Yongyang Zhou...
The augmentation procedure described in [35] is used for training. For PSMNet and CFNet, we set dmax to 256 and disabled ImageNet normalization. We use learning rate schedules and optimizers as in [35, 10, 63]. In our experiments, we fix β=0.85, th=0.5, γ3ρ=0.1...
Ainsi, toute augmentation de la pression intracrânienne est transmise à l’espace sous-arachnoïdien entourant le nerf optique entraînant alors une distension du DENO. Notons que certains états pathologiques peuvent bloquer ces conductions tels que les tumeurs exerçant un effet de ...
Furthermore, we introduce a data augmentation method to generate views across image pairs from stereo cameras based on the tracks of key points provided by Structure-from-Motion (SfM), which helps address performance degradation caused by shape-radiance ambiguity. Experiments on the KITTI-360 ...
the FreqSpace-NeRF (FS-NeRF), aiming to significantly enhance the rendering fidelity and generalization performance of NeRF in complex scenes by integrating the unique advantages of spectral domain and spatial domain deep neural networks, and combining contrastive learning driven data augmentation ...