Improved Precision and Recall Metric for Assessing Generative Models

15 April 2019

Papers citing "Improved Precision and Recall Metric for Assessing Generative Models"

50 / 184 papers shown

Title
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 44 2 0 27 May 2024
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 40 36 0 09 May 2024
Unifying and extending Precision Recall metrics for assessing generative models Benjamin Sykes Loïc Simon Julien Rabin EGVM 23 2 0 02 May 2024
Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks R. Ramachandranpillai Md Fahim Sikder David Bergstrom Fredrik Heintz SyDa 38 6 0 21 Apr 2024
MAD Speech: Measures of Acoustic Diversity of Speech Matthieu Futeral A. Agostinelli Marco Tagliasacchi Neil Zeghidour Eugene Kharitonov 51 1 0 16 Apr 2024
GP-MoLFormer: A Foundation Model For Molecular Generation Jerret Ross Brian M. Belgodere Samuel C. Hoffman Vijil Chenthamarakshan Youssef Mroueh Payel Das Payel Das 36 5 0 04 Apr 2024
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better En-hao Liu Junyi Zhu Zinan Lin Xuefei Ning Shuaiqi Wang ... Sergey Yekhanin Guohao Dai Huazhong Yang Yu-Xiang Wang Yu Wang MoMe 57 4 0 02 Apr 2024
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions Zhijun Tu Kunpeng Du Hanting Chen Hai-lin Wang Wei Li Jie Hu Yunhe Wang ViT 39 4 0 31 Mar 2024
SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules Xiangyu Chen Jing Liu Ye Wang Pu Wang Matthew Brand Guanghui Wang T. Koike-Akino 40 7 0 18 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 51 6 0 15 Mar 2024
Cross-Domain Image Conversion by CycleDM Sho Shimotsumagari Shumpei Takezaki Daichi Haraguchi Seiichi Uchida 26 0 0 05 Mar 2024
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models Pum Jun Kim Seojun Kim Jaejun Yoo EGVM 23 3 0 30 Jan 2024
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset T. Dao D. Vu Cuong Pham Anh Tran 23 1 0 28 Dec 2023
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 45 33 0 11 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 28 155 0 05 Dec 2023
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 22 122 0 01 Dec 2023
SMaRt: Improving GANs with Score Matching Regularity Mengfei Xia Yujun Shen Ceyuan Yang Ran Yi Wenping Wang Yong-jin Liu 34 5 0 30 Nov 2023
Metric Space Magnitude for Evaluating the Diversity of Latent Representations K. Limbeck R. Andreeva Rik Sarkar Bastian Alexander Rieck 22 3 0 27 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 38 3 0 23 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 27 6 0 22 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 13 1 0 02 Nov 2023
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks Christoph Angermann Johannes Bereiter-Payr Kerstin Stock Markus Haltmeier Gerald Degenhart MedIm 30 1 0 26 Oct 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 23 7 0 17 Oct 2023
Towards More Accurate Diffusion Model Acceleration with A Timestep Aligner Mengfei Xia Yujun Shen Changsong Lei Yu Zhou Ran Yi Deli Zhao Wenping Wang Yong-jin Liu 21 5 0 14 Oct 2023
Robust GAN inversion Egor Sevriugov Ivan V. Oseledets 24 0 0 31 Aug 2023
Elucidating the Exposure Bias in Diffusion Models Mang Ning Mingxiao Li Jianlin Su A. A. Salah Itir Onal Ertugrul DiffM 114 35 0 29 Aug 2023
Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations Seogkyu Jeon Bei Liu Pilhyeon Lee Kibeom Hong Jianlong Fu H. Byun 45 1 0 21 Aug 2023
Spatial-Frequency U-Net for Denoising Diffusion Probabilistic Models Xin Yuan Linjie Li Jianfeng Wang Zhengyuan Yang Kevin Qinghong Lin Zicheng Liu Lijuan Wang DiffM 55 6 0 27 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 45 2 0 20 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 37 60 0 17 Jul 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 24 24 0 01 Jun 2023
F?D: On understanding the role of deep feature spaces on face generation evaluation Krish Kabra Guha Balakrishnan EGVM CVBM 32 0 0 31 May 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models Qiang Wang Di Kong Fengyin Lin Yonggang Qi DiffM 26 14 0 30 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 29 106 0 17 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 69 1 0 12 May 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 52 64 0 10 May 2023
StyleGenes: Discrete and Efficient Latent Distributions for GANs Evangelos Ntavelis Mohamad Shahbazi I. Kastanis Radu Timofte Martin Danelljan Luc Van Gool 43 1 0 30 Apr 2023
Controllable Image Generation via Collage Representations Arantxa Casanova Marlene Careil Adriana Romero Soriano Christopher Pal Jakob Verbeek M. Drozdzal DiffM 39 7 0 26 Apr 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 18 0 0 24 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations Benjamin Ramtoula Matthew Gadd Paul Newman D. Martini 21 10 0 20 Apr 2023
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation Chrystian Wahyono GAN 13 3 0 19 Apr 2023
NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs Harsh Rangwani Lavish Bansal Kartik Sharma Tejan Karmali Varun Jampani R. Venkatesh Babu 20 13 0 12 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 24 13 0 10 Apr 2023
Revisiting the Evaluation of Image Synthesis with GANs Mengping Yang Ceyuan Yang Yichi Zhang Qingyan Bai Yujun Shen Bo Dai EGVM 35 7 0 04 Apr 2023
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation Mayu Otani Riku Togashi Yu Sawai Ryosuke Ishigami Yuta Nakashima Esa Rahtu J. Heikkilä Shiníchi Satoh 38 62 0 04 Apr 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 22 5 0 13 Feb 2023
Don't Play Favorites: Minority Guidance for Diffusion Models Soo Bin Um Suhyeon Lee Jong Chul Ye DiffM 18 21 0 29 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 40 12 0 27 Jan 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 35 21 0 30 Dec 2022
Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo Yoojin Jang Jy-yong Sohn Dongyoon Han Jaejun Yoo 13 6 0 16 Dec 2022