24-02-2022 дата публикации
Номер: US20220058859A1
Принадлежит:
Various embodiments set forth systems and techniques for generating seams for a 3D model. The techniques include generating, based on the 3D model, one or more inputs for one or more trained machine learning models; providing the one or more inputs to the one or more trained machine learning models; receiving, from the one or more trained machine learning models, seam prediction data generated based on the one or more inputs; and placing one or more predicted seams on the 3D model based on the seam prediction data. 1. A method for automatically generating seams for a three-dimensional (3D) model , the method comprising:generating, based on the 3D model, one or more representations of the 3D model as inputs for one or more trained machine learning models;generating a set of seam predictions associated with the 3D model by applying the one or more trained machine learning models to the one or more representations of the 3D model, wherein each seam prediction included in the set of seam predictions identifies a different seam along which the 3D model can be cut; andplacing one or more seams on the 3D model based on the set of seam predictions.2. The method of further comprising:dividing the 3D model into a plurality of groups; andfor each group of the plurality of groups, generating respective one or more representations of the 3D model as inputs for the one or more trained machine learning models.3. The method of claim 1 , wherein the one or more representations of the 3D model include one or more 2D images claim 1 , wherein the set of seam predictions indicates claim 1 , for each 2D image of the one or more 2D images claim 1 , a respective one or more seam predictions in the 2D image.4. The method of claim 3 , wherein placing the one or more seams on the 3D model includes claim 3 , for each 2D image of the one or more 2D images claim 3 , projecting the respective one or more seam predictions in the 2D image onto the 3D model.5. The method of claim 1 , wherein the one ...
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