�@�}�g��w��̌��`�[��J��uGoshuin 2.0: Construction of the World�fs Largest Goshuin Dataset and Automatic Generation System of Goshuin with Neural Style Transfer�v�i��2.0�j�́A�e�L�X�g��w�K�x�[�X�̃V�X�e��B�P��p�̃f�[�^�Z�b�g�́A��1000�J��ȏ��K�₵�擾��ɑ�K�͂Ƀf�[�^��B

��ă��f��Ő��̗�

�@��Ƃ́A��{�̐_�Ђ₨��ɎQ�q��؂Ƃ��ďW�߂��̂��B��͂��ނˁA��͂Ǝ��Ђ̖��̂�{��^�Ր_�̖��O�Ȃǂ̖n��ō\��B��̌��̖ړI�́A��f�[�^�̊��p�̉\��T��A��݂̌��Ɋւ��_�𖾂炩�ɂ��A��f�[�^�̊��p�ɂ��Ă��B

�@��̖��_��4�B

��p�\�Ȍ��܂ރf�[�^�Z�b�g��Ȃ��A�֘A��鏑�Ђ�Web�T�C�g�͒��쌠�̖��Ō��ړI�ł��Ă��p��ł��邱�ƁB
��͖��`��Ȃ̂ŁA�ˑR��Ă��܂��\��邱�ƁB
�C�O�ł͌��̒m��x��Ⴍ�A��Ɋւ��Z�p�I�Ȍ��Ⴊ�Ȃ��ƁB
��͐l�C��o�Ď��v��Ă��邪�A��ō����i�݌��l��Ă��邽�߁A��Ђ��^�ł��Ȃ��Ȃ�\��邱�ƁB

�@��̖��邽�߂�2�̃A�v��[�`��āB��f�[�^�Z�b�g�̍\�z�ƁA�@�B�w�K��f��g��󐶐��V�X�e��̍\�z��B

�@��f�[�^�Z�b�g��\�z��邽�߂ɁA��v4000�̌��W�߂��B��̂��1000��́A��ۂɎ��Ђ�K��Ď��W��̂ŁA�c��3000��́A��֘A��Ђ̍ő��ł��n��̕��Ђ��񋟂��ꂽ��̂��g�p�B��[�U�[�̓f�[�^�x�[�X�ɑ΂��āA��O��̑��ɉ��či�荞�݌��s��āA��f�[�^�Z�b�g��_�E��[�h�ł��B�{�݂̎�ށi�_�ЁE��t�j��M�̎�ށA�@�h�̎�ށA�ꏊ�A�@�h��A�O��[�v��6�̃t�B��^�[�Ō��ʂ��i�荞�߂�B

��1000��ȏ��K�₵�W�߂��

�@��ɁA��[�U�[��͂��V�X�e��\�z��B��̓��[�U�[��͂��e�L�X�g�ƃf�[�^�Z�b�g�Ɏ��^��Ă��t�H��g��g�ݍ��킹�Č��摜��o�͂��W�F�l��[�^�[�B��[�U�[�͔C�ӂ̏��̂ƑS�̂̃X�^�C��I��ł��A��ɉ��ă��A��^�C��ɐ��ł��B

��󎩓��V�X�e��̃��[�U�[�C��^�t�F�[�X

�@��󎩓��V�X�e��J��Ă��AWeb�u��E�U��Ŏ��ۂɎ��Ƃ��ł��B

�@�V�X�e��\�z��ɂ��āA�摜�̉敗��X�^�C��ϊ��Neural Style Transfer�̒��ł��A��̃X�^�C��摜�Ńt�H��g��쐬�ł��鎖�O�w�K�ς݃��f��uEMD�v�iEmpirical mode decomposition�j�l�b�g��[�N��g��B�쐬��f�[�^�Z�b�g��g��A��͂��e�L�X�g��C�ӂ̏��̂ƃf�U�C��̌��Ɏ��ϊ��悤�Ɋw�K��B