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Depth-wise Separable GAN: Efficient and Scalable Generative Adversarial Networks

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)

DOI: 10.1109/icetci64844.2025.11084026

Authors: Mingxuan Leng, Dingshu Fan, Tianyun Jiao

Institution: Beijing University of Posts and Telecommunications

Language: English

Topic: Generative Adversarial Networks and Image Synthesis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4412624199

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