March 14, 2024, 4:45 a.m. | Aman Kumar, Khushboo Anand, Shubham Mandloi, Ashutosh Mishra, Avinash Thakur, Neeraj Kasera, Prathosh A P

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08261v1 Announce Type: new
Abstract: Generative Adversarial Networks (GANs) have proven to exhibit remarkable performance and are widely used across many generative computer vision applications. However, the unprecedented demand for the deployment of GANs on resource-constrained edge devices still poses a challenge due to huge number of parameters involved in the generation process. This has led to focused attention on the area of compressing GANs. Most of the existing works use knowledge distillation with the overhead of teacher dependency. Moreover, …

abstract adversarial applications arxiv challenge computer computer vision cs.ai cs.cv demand deployment devices edge edge devices eess.iv gans generative generative adversarial networks however networks parameters performance process pruning type via vision

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