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发表于 2021-10-31 19:44:51
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本帖最后由 Hedwig 于 2021-10-31 19:48 编辑
dst : uses masks derived from the shape of the landmarks generated during data_dst faceset/dataset extraction.
learned-prd : uses masks learned during training. Keep shape of SRC faces.
learned-dst : uses masks learned during training. Keep shape of DST faces.
learned-prd*dst : combines both masks, smaller size of both.
learned-prd+dst : combines both masks, bigger size of both.
XSeg-prd : uses XSeg model to mask using data from source faces.
XSeg-dst : uses XSeg model to mask using data from destination faces.
XSeg-prd*dst : combines both masks, smaller size of both.
learned-prd*dst*XSeg-dst*prd : Learned-prd * dst * XSeg-dst * prd:combines all 4 mask modes, smaller size of all.
我理解的加号是取两个区域的合集,乘号则是取两个区域的交集
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