ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.11267
  4. Cited By
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models
  via GPU-Aware Optimizations

Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations

21 April 2023
Yu-Hui Chen
Raman Sarokin
Juhyun Lee
Jiuqiang Tang
Chuo-Ling Chang
Andrei Kulik
Matthias Grundmann
    VLM
ArXivPDFHTML

Papers citing "Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations"

10 / 10 papers shown
Title
OODTE: A Differential Testing Engine for the ONNX Optimizer
OODTE: A Differential Testing Engine for the ONNX Optimizer
Nikolaos Louloudakis
Ajitha Rajan
44
0
0
03 May 2025
Scaling On-Device GPU Inference for Large Generative Models
Scaling On-Device GPU Inference for Large Generative Models
Jiuqiang Tang
Raman Sarokin
Ekaterina Ignasheva
Grant Jensen
Lin Chen
Juhyun Lee
Andrei Kulik
Matthias Grundmann
168
1
0
01 May 2025
Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
J. Park
Maanas Taneja
Qianwen Wang
Dongyeop Kang
VGen
70
0
0
26 Apr 2025
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
Liming Liu
Jiangkai Wu
Haoyang Wang
Peiheng Wang
Xinggong Zhang
Zongming Guo
47
0
0
20 Mar 2025
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Temporal Feature Matters: A Framework for Diffusion Model Quantization
Yushi Huang
Ruihao Gong
Xianglong Liu
Jing Liu
Yuhang Li
Jiwen Lu
Dacheng Tao
DiffM
MQ
49
0
0
28 Jul 2024
Distilling Diffusion Models into Conditional GANs
Distilling Diffusion Models into Conditional GANs
Minguk Kang
Richard Zhang
Connelly Barnes
Sylvain Paris
Suha Kwak
Jaesik Park
Eli Shechtman
Jun-Yan Zhu
Taesung Park
46
37
0
09 May 2024
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
Dingkun Zhang
Sijia Li
Chen Chen
Qingsong Xie
H. Lu
41
22
0
17 Apr 2024
Squeezing Large-Scale Diffusion Models for Mobile
Squeezing Large-Scale Diffusion Models for Mobile
Jiwoong Choi
Minkyu Kim
Daehyun Ahn
Taesu Kim
Yulhwa Kim
Do-Hyun Jo
H. Jeon
Jae-Joon Kim
Hyungjun Kim
34
9
0
03 Jul 2023
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
Syed Asad Alam
Andrew Anderson
B. Barabasz
David Gregg
71
25
0
25 Jan 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
306
10,368
0
12 Dec 2018
1