Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion (CVPR 2022, Oral) - LittlePey/SFD
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion Xiaopei Wu1,2, Liang Peng1,2, Honghui Yang1,2, Liang Xie1, Chenxi Huang1, Chengqi Deng1, Haifeng Liu1, Deng Cai1,2∗* 1State Key Lab of CAD&CG, Zhejiang University 2Fabu Inc., Han...
几篇论文实现代码:《Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion》(CVPR 2022) GitHub: github.com/LittlePey/SFD [fig4] 《IFRNet: Intermediate Feature Refine Network fo...
Fuse Multi-Scale/View:对于一个关键点在不同特征尺度和视角上的投影,我们采用了加权求和的方式,权重系数通过将instance feature和anchor embed输入至全连接网络中得到; Fuse Multi-Timestamp:对于时序特征,我们采用了简单的recurrent策略(concat + linear)来融合; Fuse Multi-Keypoint:最后,我们采用求和的方式融合同一...
Clone the project from GitHub: git clone git://github.com/torarnv/sparsebundlefs.git Or download the latest tar-ball: curl -L https://github.com/torarnv/sparsebundlefs/tarball/master | tar xvz Install dependencies: macFUSEonmacOS, e.g. viabrew install pkgconf macfuse ...
https://github.com/stevewongv/Sparse2Densegithub.com/stevewongv/Sparse2Dense Transfer dense point knowledge from the Dense point 3D Detector (DDet) to the Sparse point 3D Detector (SDet). 论文概述 动机:small, distant, and incomplete objects with sparse or few points are often hard to ...
Dense representations, such as bird-eye-view (BEV), volumetric, and point representations, are commonly used 17591 Table 1: For each LiDAR-camera fusion method, we identify the LiDAR candidates and camera candidates that are used, the transformation ...
Code: https://github.com/guoyww/AnimateDiff/ SparseCtrl RGB: https://huggingface.co/a-r-r-o-w/animatediff-sparsectrl-rgb SparseCtrl Scribble: https://huggingface.co/a-r-r-o-w/animatediff-sparsectrl-scribble SparseCtrl Motion Lora: https://huggingface.co/a-r-r-o-w/animatediff-motion...
To make up for this, we introduce a Sparse signal-guided Transformer (SigFormer) to combine both dense and sparse signals. We employ mask attention to fuse localized features by constraining cross-attention within the regions where sparse signals are valid. However, since sparse signals are ...
SparseFusion utilizes the outputs of parallel detectors in the LiDAR and camera modalities as sparse candidates for fusion. We transform the camera candidates into the LiDAR coordinate space by disentangling the object representations. Then, we can fuse the multi-modality candidates in a unified 3D ...