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Improvement:

  • Usage

    • r_precision.py
      For prompt seperation
      --text is for the prompt following the author of stable dream fusion
      --workspace is the workspace folder which will be created for every prompt fed into stable dreamfusion
      --latest is which ckpt is used. Stable dream fusion record every epoch data. Normally is ep0100 unless the training is not finished or we further extend the training
      --mode has choices of rgb and depth which is correspondent to color and texture result as original paper Figure 5: Qualitative comparison with baselines.
      --clip has choices of clip-ViT-B-32, CLIP B/16, CLIP L/14, same as original paper

      python Prompt.py --text "matte painting of a castle made of cheesecake surrounded by a moat made of ice cream" --workspace ../castle --latest ep0100 --mode rgb --clip clip-ViT-B-32
    • Prompt.py (model name case sensitive)
      For prompt seperation

      --text is for the prompt following the author of stable dream fusion
      --model is for choose the pretrain models

      python Prompt.py --text "a dog is in front of a rabbit" --model vlt5
      python Prompt.py --text "a dog is in front of a rabbit" --model bert
      python Prompt.py --text "a dog is in front of a rabbit" --model XLNet
    • mesh_to_video.py
      --center_obj IS THE CENTER OBJECT
      --surround_obj IS THE SURROUNDING OBJECT SUBJECT TO CHANGE
      --transform_vector THE X Y Z 3d vector for transform

      python mesh_to_video.py --center_obj 'mesh_whiterabbit/mesh.obj' --surround_obj 'mesh_snake/mesh.obj' --transform_vector [1,0,0]