WebSep 19, 2024 · This paper carries out the exploration of self-supervised learning for object segmentation using NeRF for complex real-world scenes. Our framework, called NeRF … WebMar 9, 2024 · To avoid these problems, we present a weakly-supervised reconstruction-based pipeline, named NeRF-Pose, which needs only 2D object segmentation and known relative camera poses during training. Following the first-reconstruct-then-regress idea, we first reconstruct the objects from multiple views in the form of an implicit neural …

Points2NeRF: Generating Neural Radiance Fields from 3D point …

WebSep 24, 2024 · We propose a transformer-based framework NeRF-Loc to extract 3D bounding boxes of objects in NeRF scenes. NeRF-Loc takes a pre-trained NeRF model and camera view as input, and produces labeled 3D bounding boxes of objects as output. Concretely, we design a pair of paralleled transformer encoder branches, namely the … WebJul 21, 2024 · Motivated by the success of 2D recognition, we revisit the task of 3D object detection by introducing a large benchmark, called Omni3D. Omni3D re-purposes and combines existing datasets resulting in 234k images annotated with more than 3 million instances and 98 categories. 3D detection at such scale is challenging due to variations … process routes for benzene production

arXiv每日更新-20240329（今日关键词：video, 3d, models) - 知乎

WebApr 10, 2024 · This paper presents the first significant object detection framework, NeRF-RPN, which directly operates on NeRF, and demonstrates it is possible to regress the 3D bounding boxes of objects in NeRF directly without rendering the NeRF at any viewpoint. Expand. 2. Highly Influential. PDF. WebOct 27, 2024 · The ability to grasp and manipulate transparent objects is a major challenge for robots. Existing depth cameras have difficulty detecting, localizing, and inferring the … WebNeRF on two tasks : novel view synthesis in unseen light conditions, and altitude estimation. We quantitatively show that S-NeRF outperforms NeRF on both tasks. We also show how using an explicit shadow model allows us to de-tect shadows in the training and test images, and estimate the albedo on the extracted 3D surface, even in areas that reha heddesheim