WebPreprint. Dec 2024. Fangjinhua Wang. Silvano Galliani. Christoph Vogel. Marc Pollefeys. We present IterMVS, a new data-driven method for high-resolution multi-view stereo. We propose a novel GRU ... WebIterMVS is a novel learning-based MVS method combining highest efficiency and competitive reconstruction quality. We propose a novel GRU-based estimator that encodes pixel-wise probability distributions of depth in its hidden state. Ingesting multi-scale matching information, our model refines these distributions over multiple iterations and ...
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Web13 okt. 2024 · To tackle this limitation, we propose a novel non-local recurrent regularization network for multi-view stereo, named NR2-Net. Specifically, we design a depth attention module to capture non-local depth interactions within a sliding depth block. Then, the global scene context between different blocks is modeled in a gated recurrent manner. Web10 apr. 2024 · Step 1:调用get _rays ()函数,根据光线的ray_d计算单位方向作为view_dirs. Step 2:生成光线的远近端,用于确定边界框,并将其聚合到rays中 (获得光线的ray_o.ray_d、near、. far、viewdirs) Step 3:并行计算ray的属性 (通过调用batchify_rays (函数) Step 4:batchify_rays ()再调用render_rays ... bitbake how to override the bbclass file
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Web30 nov. 2024 · IterMVS retains PatchMatchNet’s initialization and uses the iterative structure of RAFT in optical flow estimation. IterMVS [ 24 ] can achieve a better generalization … WebIterMVS模型在内存和运行时间上都是最有效的方法,且还能实现最优性能,在Tanks&Temples、ETH3D数据上具有很好的泛化性。 IterMVS的限制:其网络结构允许 … Web1 jun. 2024 · IterMVS [24] can achieve a better generalization performance while maintaining fast inference speed and low memory consumption and is the most … bitbake layer.conf