Object three-dimensional reconstruction method, storage medium, terminal and system
A three-dimensional reconstruction and object technology, applied in neural learning methods, 3D modeling, biological neural network models, etc., to achieve the effect of improving efficiency, reducing information disturbance, and reducing workload
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Embodiment 1
[0035] Such as figure 1 As shown, in Embodiment 1, a method for three-dimensional reconstruction of an object specifically includes the following steps:
[0036] S01: Train the network model; in this embodiment, the generative network includes a U-shaped generative confrontation network and a 3D conditional generative confrontation network. Both the U-shaped generative confrontation network and the 3D conditional generative confrontation network are based on the generative confrontation network. Different from the original generative adversarial network. Among them, the input to the generator G in the U-shaped generative confrontation network is not a random vector, but a picture of an object from any perspective. The input to the generator G in the 3D conditional generative adversarial network is the silhouette side view of the corresponding object.
[0037] Further, training the entire network specifically includes the following sub-steps:
[0038] S011: Preprocess the da...
Embodiment 2
[0077] This embodiment is based on the same inventive concept as Embodiment 1, and provides a three-dimensional reconstruction system of an object on the basis of Embodiment 1, such as Figure 4 As shown, the system specifically includes U-shaped generative adversarial network and 3D conditional generative adversarial network. The image is input to the 3D conditional generative adversarial network; the 3D conditional generative adversarial network generates a shape mask according to the shape profile binary image features of the first fixed-view image, and then generates a 3D model of the object. Both the U-shaped generative confrontation network and the 3D conditional generative confrontation network include a generator and a discriminator, Figure 5 Schematic diagram of the 3D conditional generative confrontation network structure for shape masks, Figure 6 It is a U-shaped generative confrontation network structure diagram of the present invention.
[0078] Further, the a...
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