NeuralPoints
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WanquanF
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
Hi Wanquan, In PUGeo-Net, during the testing, the number of points is 5000 and that in NeuralPoints is 2000. Would it influence the result?
hi feng, thanks for your work. i wonder how do you make your datasets? for i have sth wrong when i run my own data. i notice that your input...
error: RuntimeError: Error building extension 'cd': [1/1] c++ chamfer_distance.o chamfer_distance.cuda.o -shared -L/home/hay/Downloads/ENTER/envs/NePs/lib/python3.8/site-packages/torch/lib -lc10 -lc10_cuda -ltorch_cpu -ltorch_cuda -ltorch -ltorch_python -L/home/hay/Downloads/ENTER/envs/NePs/lib64 -lcudart -o cd.so FAILED: cd.so c++ chamfer_distance.o chamfer_distance.cuda.o -shared -L/home/hay/Downloads/ENTER/envs/NePs/lib/python3.8/site-packages/torch/lib -lc10...
Hello, is your .bin file input the 3D including the point and its normal vector?
I ran your test script, why is the generated loss picture blank, what is the problem?