localizationdeep-learningroboticsmappingpaperstructure-from-motionsfmcvlidararxivslamnerf3d-reconstructionimage-matchingpaperwithcode UpdatedNov 18, 2024 Python 🤗 image matching toolbox webui deep-learningsiftgradiopose-estimationimage-matchingfeature-matchingvisual-localizationsuperpointsupergluekorniakeypoint-match...
《LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields》(2023) GitHub: github.com/tangtaogo/lidar-nerf [fig4] û收藏 10 2 ñ8 评论 o p 同时转发到我的微博 按热度 按时间 正在加载,请稍候...互联网科技博主 3 公司 北京邮电大学 Ü 简介: 北邮PRIS模式识别实验室...
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding (21 Dec 2023) Senqiao Yang*, Jiaming Liu*, Ray Zhang, et al. 3D-LLM: Injecting the 3D World into Large Language Models (24 Jul 2023)[NeurIPS 2023 Spotlight] Yining Hong, Haoyu Zhen, Peihao Chen, et...
Code: https://github.com/Yueming6568/DeltaEdit NeRF NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior Home: https://nope-nerf.active.vision/ Paper: https://arxiv.org/abs/2212.07388 Code: None Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures Paper: https://ar...
* 题目: Sparse LiDAR Assisted Self-supervised Stereo Disparity Estimation * 链接:https://arxiv.org/abs/2112.15355 * 作者: Xiaoming Zhao,Weihai Chen,Xingming Wu,Peter C. Y. Chen,Zhengguo Li * 摘要: 近年来,深度立体匹配取得了重大进展。然而,最先进的方法基于昂贵的 4D 成本量,这限制了它们在实际...
代码:flex-nerf.github.io/ [28] Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation 标题:基于时空像素级对比学习的视频语义分割无源域自适应 链接:arxiv.org/abs/2303.1436 代码:github.com/shaoyuanlo/S [29] Both Style and Distortion Matter...
在占用网络之外,特斯拉还介绍了一个在 2020 年就被提出来的算法 NeRF,它可以与占用网络高度配合,实现在车辆周围环境的 3D 渲染。此外,在 2022 年 AI Day 上,特斯拉还花了不少时间介绍了在自动驾驶感知之外的一些关于规划等任务的新算法。 值得一提的是,2022 年的 AI Day ,站在台上代表特斯拉演讲的,已经不再...
* 题目: Continual Learning for LiDAR Semantic Segmentation: Class-Incremental and Coarse-to-Fine strategies on Sparse Data* PDF: arxiv.org/abs/2304.0398* 作者: Elena Camuffo,Simone Milani 三维视觉-点云处理 3篇 * 题目: HybridFusion: LiDAR and Vision Cross-Source Point Cloud Fusion* PDF: arxi...
Image editing 可以应用于去除物体,填充物体,替代物体。和AIGC一起应用。 9042e7705665982548c60e13307e91cc 例子:Edit everything 模型采用SAM+CLIP+Stable Diffusion,先用SAM找到所有分割,再根据source prompt给分割排序通过CLIP找到最高分的目标分割,再写一个target prompt通过Stable Diffusion来生成新物品代替目标。 没...
To address the issue that sparse point cloud maps constructed by SLAM cannot provide detailed information about measured objects, and image sequence-based measurement methods have problems with large data volume and cumulative errors, this paper proposes