Covariance-Adaptive Sequential Black-box Optimization for Diffusion
Targeted Generation

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Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation

2 June 2024

Ivor W. Tsang

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Papers citing "Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation"

19 / 19 papers shown

Title
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models Zhengfu He Tianxiang Sun Kuan-Chieh Wang Xuanjing Huang Xipeng Qiu DiffM VLM 99 131 0 28 Nov 2022
Unified Discrete Diffusion for Simultaneous Vision-Language Generation Minghui Hu Chuanxia Zheng Heliang Zheng Tat-Jen Cham Chaoyue Wang Zuopeng Yang Dacheng Tao Ponnuthurai Nagaratnam Suganthan DiffM 131 26 0 27 Nov 2022
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 207 615 0 02 Nov 2022
LAION-5B: An open large-scale dataset for training next generation image-text models Christoph Schuhmann Romain Beaumont Richard Vencu Cade Gordon Ross Wightman ... Srivatsa Kundurthy Katherine Crowson Ludwig Schmidt R. Kaczmarczyk J. Jitsev VLM MLLM CLIP 209 3,509 0 16 Oct 2022
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 179 1,546 0 05 Oct 2022
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps Cheng Lu Yuhao Zhou Fan Bao Jianfei Chen Chongxuan Li Jun Zhu DiffM 254 1,467 0 02 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,931 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 532 15,811 0 20 Dec 2021
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance Heeseung Kim Sungwon Kim Sungroh Yoon DiffM BDL 119 112 0 23 Nov 2021
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation Gwanghyun Kim Taesung Kwon Jong Chul Ye DiffM 223 655 0 06 Oct 2021
Variational Diffusion Models Diederik P. Kingma Tim Salimans Ben Poole Jonathan Ho DiffM 210 1,141 0 01 Jul 2021
Local policy search with Bayesian optimization Sarah Müller Alexander von Rohr Sebastian Trimpe BDL 77 42 0 22 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 312 7,988 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 410 6,596 0 26 Nov 2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 174 1,469 0 21 Sep 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 812 18,437 0 19 Jun 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 100 474 0 03 Oct 2019
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization Sijia Liu B. Kailkhura Pin-Yu Chen Pai-Shun Ting Shiyu Chang Lisa Amini 116 185 0 25 May 2018
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 391 7,983 0 13 Jun 2012