To address these problems, this paper presents a learning‐based point cloud registration network, namely HDRNet, which consists of four stages: local feature extraction, correspondence matrix estimation, feature embedding and fusion and parametric regression. HDRNet is robust to noise and large rotation...
The provided pre-trained models were updated from an older version and might slightly differ from the models used for evaluation in the paper. The pre-trained HDR+ model expects as input a specially formatted 16-bit linear input. In summary, starting from Bayer RAW: Subtract black level. Appl...
The provided pre-trained models were updated from an older version and might slightly differ from the models used for evaluation in the paper. The pre-trained HDR+ model expects as input a specially formatted 16-bit linear input. In summary, starting from Bayer RAW: ...
The provided pre-trained models were updated from an older version and might slightly differ from the models used for evaluation in the paper. The pre-trained HDR+ model expects as input a specially formatted 16-bit linear input. In summary, starting from Bayer RAW: Subtract black level. Appl...
RNA-binding proteins play crucial roles in the regulation of gene expression, and understanding the interactions between RNAs and RBPs in distinct cellular conditions forms the basis for comprehending the underlying RNA function. However, current computa
We propose a three stage learning-based approach for High Dynamic Range (HDR) video reconstruction with alternating exposures. The first stage performs alignment of neighboring frames to the reference frame by estimating the flows between them, the second stage is composed of multi-attention modules ...
If you use this code for your research, please cite our paper. @article{yan2019attention, title={Attention-guided Network for Ghost-free High Dynamic Range Imaging}, author={Yan, Qingsen and Gong, Dong and Shi, Qinfeng and Hengel, Anton van den and Shen, Chunhua and Reid, Ian and Zhang...
A C++ implementation of inference part of the paper: Gharbi, Michaël, et al. "Deep bilateral learning for real-time image enhancement." ACM Transactions on Graphics (TOG) 36.4 (2017): 118. Usage create binary model dir from tensorflow ( pretrained models ) python script/get_tfmodel_valu...
The provided pre-trained models were updated from an older version and might slightly differ from the models used for evaluation in the paper. The pre-trained HDR+ model expects as input a specially formatted 16-bit linear input. In summary, starting from Bayer RAW: Subtract black level. Appl...
The provided pre-trained models were updated from an older version and might slightly differ from the models used for evaluation in the paper. The pre-trained HDR+ model expects as input a specially formatted 16-bit linear input. In summary, starting from Bayer RAW: ...