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Publication search results
found 108 matches
- 2024
- Zuoen Deng, Haisong Huang, Jingwei Yang, Jiadui Chen, Xin Gao, Kai Yang:
Digital twin modeling method of the temperature field of thermo-compression bonding blade based on generative adversarial networks. Adv. Eng. Softw. 188: 103569 (2024) - Pengli Du, Ying Liu, Nam Ling:
CGVC-T: Contextual Generative Video Compression With Transformers. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(2): 209-223 (2024) - Raj Kumar Paul, Dipankar Misra, Shibaprasad Sen, Saravanan Chandran:
Optimization of microscopy image compression using convolutional neural networks and removal of artifacts by deep generative adversarial networks. Multim. Tools Appl. 83(20): 58961-58980 (2024) - Yao Zhou, Bing Hu, Xianglei Yuan, Kaide Huang, Zhang Yi, Gary G. Yen:
Multiobjective Evolutionary Generative Adversarial Network Compression for Image Translation. IEEE Trans. Evol. Comput. 28(3): 798-809 (2024) - Jincheng Dai, Xiaoqi Qin, Sixian Wang, Lexi Xu, Kai Niu, Ping Zhang:
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency. IEEE Wirel. Commun. 31(4): 48-56 (2024) - Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi, Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki:
Exploiting Spatial and Descriptive Information for Generative Compression. CCNC 2024: 1050-1051 - Xi Gu, Yuanyuan Xu, Kun Zhu:
Semantic Importance-Based Deep Image Compression Using a Generative Approach. MMM (2) 2024: 70-81 - Bolin Chen, Shanzhi Yin, Peilin Chen, Shiqi Wang, Yan Ye:
Generative Visual Compression: A Review. CoRR abs/2402.02140 (2024) - Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao:
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. CoRR abs/2403.05527 (2024) - Ashok Mondal, Satyam Singh:
Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint. CoRR abs/2404.04642 (2024) - Anqi Li, Yuxi Liu, Huihui Bai, Feng Li, Runmin Cong, Meng Wang, Yao Zhao:
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption. CoRR abs/2406.00758 (2024) - Jincheng Dai, Xiaoqi Qin, Sixian Wang, Lexi Xu, Kai Niu, Ping Zhang:
Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency. CoRR abs/2406.06446 (2024) - Shayan Ali Hassan, Danish Humair, Ihsan Ayyub Qazi, Zafar Ayyub Qazi:
Rethinking Image Compression on the Web with Generative AI. CoRR abs/2407.04542 (2024) - 2023
- Dina Tantawy, Mohamed Zahran, Amr G. Wassal:
PTcomp: Post-Training Compression Technique for Generative Adversarial Networks. IEEE Access 11: 9763-9774 (2023) - Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt:
Insights From Generative Modeling for Neural Video Compression. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9908-9921 (2023) - Mingying Chen, Ye Liu, Lei Shu, Kailiang Li, Xing Yang, Fan Yang:
SILGAN: Generative Adversarial Networks for Multimedia Data Compression in Solar Insecticidal Lamps Internet of Things. IECON 2023: 1-6 - Ruofan Wang, Qi Mao, Chuanmin Jia, Ronggang Wang, Siwei Ma:
Extreme Generative Human-Oriented Video Coding via Motion Representation Compression. ISCAS 2023: 1-5 - Tom Bordin, Thomas Maugey:
Semantic Based Generative Compression of Images for Extremely Low Bitrates. MMSP 2023: 1-6 - Ahmed Baha Ben Jmaa, Dorsaf Sebai:
Effects of Deep Generative AutoEncoder Based Image Compression on Face Attribute Recognition: A Comprehensive Study. MoMM 2023: 159-172 - Mathew Williams, Silvija Kokalj-Filipovic, Armani Rodriguez:
Analysis of Lossy Generative Data Compression for Robust Remote Deep Inference. WiseML@WiSec 2023: 33-38 - Bolin Chen, Zhao Wang, Binzhe Li, Shurun Wang, Shiqi Wang, Yan Ye:
Interactive Face Video Coding: A Generative Compression Framework. CoRR abs/2302.09919 (2023) - Yuefeng Zhang, Chuanmin Jia, Jianhui Chang, Siwei Ma:
Machine Perception-Driven Image Compression: A Layered Generative Approach. CoRR abs/2304.06896 (2023) - Akshara Preethy Byju, Martin Hermann Paul Fuchs, Alisa Walda, Begüm Demir:
Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images. CoRR abs/2305.08514 (2023) - Emiel Hoogeboom, Eirikur Agustsson, Fabian Mentzer, Luca Versari, George Toderici, Lucas Theis:
High-Fidelity Image Compression with Score-based Generative Models. CoRR abs/2305.18231 (2023) - Nikolai Körber, Eduard Kromer, Andreas Siebert, Sascha Hauke, Daniel Mueller-Gritschneder:
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation. CoRR abs/2309.03244 (2023) - 2022
- Kevyn Swhants Ribeiro, Ana Paula Schiavon, João Paulo Navarro, Marcelo Bernardes Vieira, Saulo Moraes Villela, Pedro Mário Cruz e Silva:
Poststack Seismic Data Compression Using a Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - Chen Zhu, Jun Xu, Donghui Feng, Rong Xie, Li Song:
Edge-Based Video Compression Texture Synthesis Using Generative Adversarial Network. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7061-7076 (2022) - Xiongtao Zhang, Xiaomin Zhu, Ji Wang, Weidong Bao, Laurence T. Yang:
DANCE: Distributed Generative Adversarial Networks with Communication Compression. ACM Trans. Internet Techn. 22(2): 50:1-50:32 (2022) - Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong:
Compression of Generative Pre-trained Language Models via Quantization. ACL (1) 2022: 4821-4836 - Csenge Fráter, David G. Nagy, Gergo Orbán:
Forgetting in delayed recognition as generative compression with decreasing capacity. CogSci 2022
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