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train_2shot.bat
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train_2shot.bat
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python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 02691156_vox --data_dir ./data/02691156_airplane/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/02691156_airplane --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 02773838_vox --data_dir ./data/02773838_bag/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/02773838_bag --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --enhance_vertical --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 02954340_vox --data_dir ./data/02954340_cap/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/02954340_cap --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03001627_vox --data_dir ./data/03001627_chair/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03001627_chair --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03261776_vox --data_dir ./data/03261776_earphone/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03261776_earphone --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03467517_vox --data_dir ./data/03467517_guitar/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03467517_guitar --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03624134_vox --data_dir ./data/03624134_knife/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03624134_knife --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03636649_vox --data_dir ./data/03636649_lamp/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03636649_lamp --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03642806_vox --data_dir ./data/03642806_laptop/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03642806_laptop --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03790512_vox --data_dir ./data/03790512_motorbike/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03790512_motorbike --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03797390_vox --data_dir ./data/03797390_mug/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03797390_mug --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 03948459_vox --data_dir ./data/03948459_pistol/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/03948459_pistol --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 04099429_vox --data_dir ./data/04099429_rocket/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/04099429_rocket --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 04225987_vox --data_dir ./data/04225987_skateboard/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/04225987_skateboard --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 3000 --retrain_iters 4 --dataset 04379243_vox --data_dir ./data/04379243_table/ --checkpoint_dir checkpoint_1shot_1_3000 --supervision_list ref2.txt --sample_dir samples/04379243_table --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 02691156_vox --data_dir ./data/02691156_airplane/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/02691156_airplane --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 02773838_vox --data_dir ./data/02773838_bag/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/02773838_bag --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --enhance_vertical --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 02954340_vox --data_dir ./data/02954340_cap/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/02954340_cap --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03001627_vox --data_dir ./data/03001627_chair/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03001627_chair --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03261776_vox --data_dir ./data/03261776_earphone/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03261776_earphone --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03467517_vox --data_dir ./data/03467517_guitar/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03467517_guitar --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03624134_vox --data_dir ./data/03624134_knife/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03624134_knife --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03636649_vox --data_dir ./data/03636649_lamp/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03636649_lamp --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03642806_vox --data_dir ./data/03642806_laptop/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03642806_laptop --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03790512_vox --data_dir ./data/03790512_motorbike/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03790512_motorbike --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03797390_vox --data_dir ./data/03797390_mug/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03797390_mug --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 03948459_vox --data_dir ./data/03948459_pistol/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/03948459_pistol --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 04099429_vox --data_dir ./data/04099429_rocket/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/04099429_rocket --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 04225987_vox --data_dir ./data/04225987_skateboard/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/04225987_skateboard --real_size 32 --points_per_shape 8192
python main.py --train --L1reg --supervised --iteration 200000 --pretrain_iters 4000 --retrain_iters 4 --dataset 04379243_vox --data_dir ./data/04379243_table/ --checkpoint_dir checkpoint_1shot_1_4000 --supervision_list ref2.txt --sample_dir samples/04379243_table --real_size 32 --points_per_shape 8192