Improved Precision and Recall Metric for Assessing Generative Models

15 April 2019

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

50 / 201 papers shown

Title
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Peize Sun Yi Jiang Shoufa Chen Shilong Zhang Bingyue Peng Ping Luo Zehuan Yuan VLM 66 229 0 10 Jun 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat Melissa Hall Alicia Sun Candace Ross M. Drozdzal Adriana Romero Soriano 55 4 0 06 Jun 2024
Don't drop your samples! Coherence-aware training benefits Conditional diffusion Nicolas Dufour Victor Besnier Vicky Kalogeiton David Picard DiffM 61 2 0 30 May 2024
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 46 37 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 54 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 38 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 44 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 48 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 59 6 0 15 Mar 2024
Cross-Domain Image Conversion by CycleDM Sho Shimotsumagari Shumpei Takezaki Daichi Haraguchi Seiichi Uchida 34 0 0 05 Mar 2024
An Interpretable Evaluation of Entropy-based Novelty of Generative Models Jingwei Zhang Cheuk Ting Li Farzan Farnia EGVM 40 6 0 27 Feb 2024
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models Pum Jun Kim Seojun Kim Jaejun Yoo EGVM 30 3 0 30 Jan 2024
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset T. Dao D. Vu Cuong Pham Anh Tran 29 1 0 28 Dec 2023
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning William Heyden Habib Ullah M. Salman Siddiqui Fadi Al Machot VLM 41 0 0 20 Dec 2023
TabMT: Generating tabular data with masked transformers Manbir Gulati Paul F. Roysdon LMTD 50 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 42 157 0 05 Dec 2023
DeepCache: Accelerating Diffusion Models for Free Xinyin Ma Gongfan Fang Xinchao Wang 24 124 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 30 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 44 3 0 23 Nov 2023
On the Limitation of Diffusion Models for Synthesizing Training Datasets Shinýa Yamaguchi Takuma Fukuda 32 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 27 5 0 14 Oct 2023
Robust GAN inversion Egor Sevriugov Ivan Oseledets 29 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 119 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 48 1 0 21 Aug 2023
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity Melissa Hall Candace Ross Adina Williams Nicolas Carion M. Drozdzal Adriana Romero Soriano EGVM 27 5 0 11 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 65 6 0 27 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 21 143 0 24 Jul 2023
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 51 2 0 20 Jul 2023
Flow Matching in Latent Space Quan Dao Hao Phung Binh Duc Nguyen Anh Tran 37 62 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 32 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 40 0 0 31 May 2023
DiffSketching: Sketch Control Image Synthesis with Diffusion Models Qiang Wang Di Kong Fengyin Lin Yonggang Qi DiffM 36 14 0 30 May 2023
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models Alvin Heng Harold Soh VLM KELM DiffM 40 107 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 58 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 31 0 0 24 Apr 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre L. Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 34 12 0 21 Apr 2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations Benjamin Ramtoula Matthew Gadd Paul Newman D. Martini 31 10 0 20 Apr 2023
SP-BatikGAN: An Efficient Generative Adversarial Network for Symmetric Pattern Generation Chrystian Wahyono GAN 23 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