convolutional weights model
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@@ -20,8 +20,8 @@ ablation_count = [config['use_skinning'], config['remove_global_orientation'], c
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assert ablation_count == 1 or ablation_count == 0
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config['gpu'] = '5'
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config['name'] = 'iccv_weights_test_3'
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config['notes'] = ''
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config['name'] = 'iccv_weights_test_5'
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config['notes'] = 'smaller weight loss coeff, 1e-6, convolutional weight learning'
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config['avg_garment_path'] = 'custom_data/train_no_shape_avg_uv.npy' #custom_data/train_no_shape_avg_uv.npy # train_no_shape_avg_uv train_no_shape_one_hot_avg_uv
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if config['use_skinning']:
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@@ -93,7 +93,8 @@ config['cvae']['encoder_depths'] = [3, 3, 3, 9, 3]
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config['cvae']['encoder_dims'] = [32, 64, 128, 256, 64]
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config['cvae']['decoder_depths'] = config['cvae']['encoder_depths']
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config['cvae']['decoder_dims'] = config['cvae']['encoder_dims']
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config['cvae']['decoder_weights_depths'] = [3, 3, 3, 5, 3]
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config['cvae']['decoder_weights_dims'] = [24, 32, 64, 128, 256]
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config['cond_ae_static'] = dict()
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config['cond_ae_static']['is_label'] = False
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