Image analytics using artificial intelligence : pose guided human image generation with deep neural network

Given the widespread problems of gelatinization and texture loss in the current image generation, a pose-guided human image generation model with RFB (Receptive Field Block) and SE (Squeeze-and-Excitation) Module added is proposed. This model uses GAN (Generative Adversarial Network) for training. I...

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Bibliographic Details
Main Author: Nie, Li
Other Authors: Yap Kim Hui
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150150
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Institution: Nanyang Technological University
Language: English