| 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 | |
| print_every: 100 | |
| render_every: 500 | |
| 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 |