daniel grzech
daniel grzech
@Mx7f has there been any progress on this? i'm running into the same problem after only about 20 iterations of the solver. is it likely that the luajit memory limit...
what data are you running it on? how come regularisation energy isn't 0 at the first iteration of the solver?
you didn’t answer either of my questions the cost decreases from iteration 1 to 2, so the solver is working correctly. my guess is that you set the gradient descent...
alpha >= 0.1 will definitely be too large. the reconstructions on youtube were run with a step size of the order of 1e-4. for more on convergence see the discussion...
here's a document that shows how to construct a sparse Laplacian matrix for a 3D grid: https://www.12000.org/my_notes/mma_matlab_control/KERNEL/KEse83.htm why would the diagonal of L be the row-wise sum of the adjacency...
hi! your model in the canonical pose looks somewhat better than mine, good job. in her e-mails Mira told me the same number of iterations till convergence. indeed, when running...
i just looked and i've boost 1.65.1 on my system. sorry for them mess--i'll try and clean up the cmake files when i have time. let me know if building...
i think i’ve seen this error before, when i forgot to specify a parameter in the .ini file. are you using one of the default .ini files? if not, then...
@YanhaoZhang this error is cuda-related. i’m afraid that you’ll need a gpu with sm_61 or higher to run the code
hi! what data did you test it on? how did the quality compare to the quality shown on the youtube videos?