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Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with
  Spiking Neural Networks

Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks

20 August 2023
Mingxuan Liu
Jie Gan
Rui Wen
Tao Li
Yongli Chen
Hong Chen
    DiffM
    MQ
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Papers citing "Spiking-Diffusion: Vector Quantized Discrete Diffusion Model with Spiking Neural Networks"

9 / 9 papers shown
Title
Spikformer: When Spiking Neural Network Meets Transformer
Spikformer: When Spiking Neural Network Meets Transformer
Zhaokun Zhou
Yuesheng Zhu
Chao He
Yaowei Wang
Shuicheng Yan
Yonghong Tian
Liuliang Yuan
143
231
0
29 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
215
1,277
0
02 Sep 2022
Improved Vector Quantized Diffusion Models
Improved Vector Quantized Diffusion Models
Zhicong Tang
Shuyang Gu
Jianmin Bao
Dong Chen
Fang Wen
DiffM
173
63
0
31 May 2022
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for
  Event-Based Vision
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision
Alexander Kugele
Thomas Pfeil
Michael Pfeiffer
Elisabetta Chicca
26
30
0
06 Dec 2021
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object
  Detection
A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection
Biswadeep Chakraborty
Xueyuan She
Saibal Mukhopadhyay
35
50
0
21 Apr 2021
Deep Residual Learning in Spiking Neural Networks
Deep Residual Learning in Spiking Neural Networks
Wei Fang
Zhaofei Yu
Yanqing Chen
Tiejun Huang
T. Masquelier
Yonghong Tian
121
470
0
08 Feb 2021
Rescuing neural spike train models from bad MLE
Rescuing neural spike train models from bad MLE
Diego M. Arribas
Yuan Zhao
Il Memming Park
17
8
0
23 Oct 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike
  Timing Dependent Backpropagation
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
Nitin Rathi
G. Srinivasan
Priyadarshini Panda
Kaushik Roy
116
292
0
04 May 2020
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient
  Hybrid Neural Networks
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
Chankyu Lee
Adarsh Kosta
A. Z. Zhu
Kenneth Chaney
Kostas Daniilidis
Kaushik Roy
81
160
0
14 Mar 2020
1