Polarity Sampling: Quality and Diversity Control of Pre-Trained
Generative Networks via Singular Values

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Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values

Computer Vision and Pattern Recognition (CVPR), 2022

3 March 2022

Ahmed Imtiaz Humayun

Randall Balestriero

Richard Baraniuk

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Papers citing "Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values"

19 / 19 papers shown

Title
Self-Improving Diffusion Models with Synthetic Data Sina Alemohammad Ahmed Imtiaz Humayun S. Agarwal John Collomosse Richard G. Baraniuk 177 28 0 29 Aug 2024
On the Geometry of Deep Learning Randall Balestriero Ahmed Imtiaz Humayun Richard G. Baraniuk AI4CE 275 0 0 09 Aug 2024
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density Shuangqi Li Chen Liu Tong Zhang Hieu Le Sabine Süsstrunk Mathieu Salzmann DiffM 205 2 0 11 Jul 2024
Rethinking Image Skip Connections in StyleGAN2 Seung Park Y. Shin 191 2 0 08 Jul 2024
Stylized Face Sketch Extraction via Generative Prior with Limited Data Kwan Yun Kwanggyoon Seo Chang Wook Seo Soyeon Yoon Seongcheol Kim Soohyun Ji Amirsaman Ashtari Junyong Noh CVBM 230 10 0 17 Mar 2024
Deep Networks Always Grok and Here is Why Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk AAML OOD AI4CE 383 43 0 23 Feb 2024
Fast and Exact Enumeration of Deep Networks Partitions RegionsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Randall Balestriero Yann LeCun 164 5 0 20 Jan 2024
Fair Sampling in Diffusion Models through Switching Mechanism Yujin Choi Jinseong Park Hoki Kim Jaewook Lee Saeroom Park DiffM 185 12 0 06 Jan 2024
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and GenerationInternational Conference on Machine Learning (ICML), 2023 Randall Balestriero Romain Cosentino Sarath Shekkizhar 298 5 0 04 Dec 2023
Improving the Effectiveness of Deep Generative DataIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Ruyu Wang Sabrina Schmedding Marco F. Huber DiffM 225 5 0 07 Nov 2023
Training Dynamics of Deep Network Linear Regions Ahmed Imtiaz Humayun Randall Balestriero Richard Baraniuk 213 4 0 19 Oct 2023
Self-Consuming Generative Models Go MADInternational Conference on Learning Representations (ICLR), 2023 Sina Alemohammad Josue Casco-Rodriguez Lorenzo Luzi Ahmed Imtiaz Humayun Hossein Babaei Daniel LeJeune Ali Siahkoohi Richard G. Baraniuk WIGM 270 222 0 04 Jul 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN TrainingComputer Vision and Pattern Recognition (CVPR), 2023 Aadithya Srikanth C. Seelamantula GAN 381 3 0 12 May 2023
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision BoundariesComputer Vision and Pattern Recognition (CVPR), 2023 Ahmed Imtiaz Humayun Randall Balestriero Guha Balakrishnan Richard Baraniuk 277 27 0 24 Feb 2023
GLeaD: Improving GANs with A Generator-Leading TaskComputer Vision and Pattern Recognition (CVPR), 2022 Qingyan Bai Ceyuan Yang Yinghao Xu Xihui Liu Yujiu Yang Yujun Shen GAN 160 11 0 07 Dec 2022
Efficient Image Generation with Variadic Attention Heads Steven Walton Ali Hassani Xingqian Xu Zinan Lin Humphrey Shi ViT 248 23 0 10 Nov 2022
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Randall Balestriero Yann LeCun 201 18 0 02 Nov 2022
Generator Knows What Discriminator Should Learn in Unconditional GANsEuropean Conference on Computer Vision (ECCV), 2022 Gayoung Lee Hyunsung Kim Jae Hyun Kim Seonghyeon Kim Jung-Woo Ha Yunjey Choi 163 20 0 27 Jul 2022
Unveiling the Latent Space Geometry of Push-Forward Generative ModelsInternational Conference on Machine Learning (ICML), 2022 Thibaut Issenhuth Ugo Tanielian Jérémie Mary David Picard GAN DRL 274 3 0 21 Jul 2022