dataset: blender
batching: single_image
factor: 0
num_coarse_samples: 64
num_fine_samples: 128
use_viewdirs: true
white_bkgd: true
batch_size: 1024
randomized: true
max_steps: 200000
stop_sc_loss: 160000
print_every: 100
render_every: 1000
save_every: 5000
use_semantic_loss: true
clip_model_name: openai/clip-vit-base-patch32
clip_output_dtype: float16
sc_loss_every: 16
few_shot: 4