yashbhalgat/HashNeRF-pytorch

Issues

• RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument mat2 in method wrapper_mm)

  #44 opened 5 months ago by rib12316
  1

• Would be nice to have a requirements.txt file to ensure no dependencies or critical packages are missed.

  #20 opened 2 years ago by harshakmohan
  3

• About the SHEncoder

  #34 opened 2 years ago by 013292
  1

• How to train on our own data?

  #17 opened 2 years ago by jimz7
  4

• RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!

  #41 opened 9 months ago by omnipotenttom
  1

• Why is the rendering speed of this version more than 100 times slower than the official gtx1000, using 1660ti

  #42 opened 9 months ago by inyiJiang
  0

• May I ask why this loss function is added and what is its purpose?

  #39 opened a year ago by wuzuyin
  0

• sparsity_loss = entropy

  #38 opened a year ago by wtj-zhong
  4

• Undefined 'disps'

  #29 opened 2 years ago by ZhaoyangZh
  3

• pretrained embedding

  #37 opened a year ago by frspring
  1

• Another PyTorch only NGP implementation

  #26 opened a year ago by cheind
  1

• "coarse and fine network"?

  #33 opened a year ago by Misaliet
  1

• Performance gap on NERF synthetic dataset

  #4 opened 3 years ago by walsvid
  12

• 3 questions about precrop_iters

  #36 opened 2 years ago by leo-frank
  1

• Why not torch.optim.RAdam

  #35 opened 2 years ago by 013292
  1

• Training on real bigger scene

  #27 opened 2 years ago by ghasemikasra39
  5

• About the size of the hash table

  #31 opened 2 years ago by CongSuxu
  1

• Question about hash encoding speed

  #32 opened 2 years ago by Miles629
  1

• Training is very slow.

  #22 opened 2 years ago by LaolangOne
  3

• Accelerated raymarching & pruning

  #28 opened 2 years ago by kxhit
  1

• Training speed and training effect

  #23 opened 2 years ago by mowangmodi
  3

• How does the trilinear interpolation work if the dimensions don't match?

  #25 opened 2 years ago by jayroopramesh
  4

• SDF experiments of InstantNGP

  #24 opened 2 years ago by Skylion007
  0

• TypeError: unsupported operand type(s) for -: 'numpy.ndarray' and 'Tensor' when runnerf on real images

  #10 opened 3 years ago by Quyans
  4

• Instant NGP

  #21 opened 2 years ago by snarb
  0

• Sparsity regulariser not implemented correctly?

  #14 opened 2 years ago by reynoldscem
  8

• Tiny-cuda-nn bindings

  #5 opened 2 years ago by danperazzo
  2

• How I need to enter it when running? - print('Loaded blender', images.shape, render_poses.shape, hwf, args.datadir)

  #19 opened 2 years ago by 13136983989
  0

• TypeError: unsupported operand type(s) for -: 'numpy.ndarray' and 'Tensor' when runnerf on real images

  #9 opened 3 years ago by Quyans
  1

• about tv loss

  #16 opened 3 years ago by Feynman1999
  1

• Can we visualize the result during training?

  #12 opened 3 years ago by Michaelwhite34
  2

• training time

  #15 opened 3 years ago by mtk380
  2

• Trained weights for forward facing scene

  #13 opened 3 years ago by SrinjaySarkar
  3

• generate mesh?

  #7 opened 3 years ago by Guptajakala
  1

• Can the checkpoint be loaded in instant-ngp's viewer (or any interactive viewer) ?

  #8 opened 3 years ago by amanshenoy
  1

• The meaning behind the hash function params and their difference from paper?

  #6 opened 3 years ago by Guptajakala
  1

• some errors in code

  #2 opened 3 years ago by taoranyi
  6