point-cloud
Papers with tag point-cloud
2022
- Boosting Point Clouds Rendering via Radiance MappingXiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, and Wenjun ZhangIn 2022
Recent years we have witnessed rapid development in NeRF-based imagerendering due to its high quality. However, point clouds rendering is somehowless explored. Compared to NeRF-based rendering which suffers from densespatial sampling, point clouds rendering is naturally less computationintensive, which enables its deployment in mobile computing device. In thiswork, we focus on boosting the image quality of point clouds rendering with acompact model design. We first analyze the adaption of the volume renderingformulation on point clouds. Based on the analysis, we simplify the NeRFrepresentation to a spatial mapping function which only requires singleevaluation per pixel. Further, motivated by ray marching, we rectify the thenoisy raw point clouds to the estimated intersection between rays and surfacesas queried coordinates, which could avoid spatial frequency collapse andneighbor point disturbance. Composed of rasterization, spatial mapping and therefinement stages, our method achieves the state-of-the-art performance onpoint clouds rendering, outperforming prior works by notable margins, with asmaller model size. We obtain a PSNR of 31.74 on NeRF-Synthetic, 25.88 onScanNet and 30.81 on DTU. Code and data would be released soon.
基于point cloud做rendering, 实现每条ray一次evaluation.
view-synthesis point-cloud@inproceedings{boosting_pc_render, title = {Boosting Point Clouds Rendering via Radiance Mapping}, author = {Huang, Xiaoyang and Zhang, Yi and Ni, Bingbing and Li, Teng and Chen, Kai and Zhang, Wenjun}, year = {2022}, tags = {view-synthesis, point-cloud}, sida = {基于point cloud做rendering, 实现每条ray一次evaluation.}, }