KAIST-VICLab/cloud_nerf

Issues

• colmap_depth.npy

  #26 opened 10 months ago by zhihaohaoran
  0

• Can this be applied to dynamic scenes?

  #25 opened a year ago by starsong98
  1

• Is it bound to only one object or able to apply multiple objects?

  #24 opened a year ago by novwaul
  1

• What are the minimum GPU specifications required to run the model?

  #23 opened a year ago by hmnc0415
  1

• About the N_importance

  #22 opened a year ago by dayna-k
  1

• How did you convert llff dataset to point cloud?

  #21 opened a year ago by alskdj90
  1

• Did you try experimenting with a different loss function than the one used in this experiment?

  #20 opened a year ago by olzlof51
  1

• Why the color loss is necessary?

  #19 opened a year ago by hyebiny
  1

• Can this train on 360-view dataset?

  #18 opened a year ago by lionking6792
  1

• How long does it take for training?

  #17 opened a year ago by dbcoral7
  1

• number of parameters

  #16 opened a year ago by opotence12
  1

• Is this code be able to operate on different version of Pytorch??

  #15 opened a year ago by ImJongminPark
  1

• Can I run this code on my own dataset?

  #13 opened a year ago by brachiohyup
  1

• Is this code be able to operate on different version of Pytorch??

  #14 opened a year ago by brachiohyup
  0

• Questions about the impact of the number of training images

  #11 opened 2 years ago by Sungpyokim97
  1

• Question about high frequency representation

  #10 opened 2 years ago by byeongjun22
  1

• [Question] Capacity of the point cloud

  #9 opened 2 years ago by dayna-k
  1

• How would the number of MLP layers affect performance?

  #8 opened 2 years ago by starsong98
  1

• Question about inference time

  #7 opened 2 years ago by ChaeyeonSon
  1

• [Question] Results on other datasets

  #6 opened 2 years ago by wonozlo
  1

• About implementation detail

  #5 opened 2 years ago by ngoductuanlhp
  1

• Multi GPU training

  #1 opened 2 years ago by triton99
  1