图像生成

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP

Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Short paper

Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models

Nila Masrourisaadat, Nazanin Sedaghatkish, Fatemeh Sarshartehrani, Edward A. Fox

专题命中 文生图 ：text-to-image(title,abstract)；image synthesis(abstract)；分类 cs.CV

Comments 20 pages, 8 figures

AlignIT: Enhancing Prompt Alignment in Customization of Text-to-Image Models

Aishwarya Agarwal, Srikrishna Karanam, Balaji Vasan Srinivasan

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments 10 pages, 9 figures

Disability Representations: Finding Biases in Automatic Image Generation

Yannis Tevissen

专题命中 文生图 ：image generation(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Presented at AVA Workshop of CVPR 2024

Decomposed evaluations of geographic disparities in text-to-image models

Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

专题命中 文生图 ：text-to-image(title)；image generation(abstract)；diffusion(abstract)；分类 cs.CV

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis

Zanlin Ni, Yulin Wang, Renping Zhou, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Shiji Song, Yuan Yao, Gao Huang

专题命中 文生图 ：image synthesis(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Accepted by CVPR2024

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators

Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments 29 pages, 16 figures

Journal ref ICML 2024

Training-free Editioning of Text-to-Image Models

Jinqi Wang, Yunfei Fu, Zhangcan Ding, Bailin Deng, Yu-Kun Lai, Yipeng Qin

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Class-Conditional self-reward mechanism for improved Text-to-Image models

Safouane El Ghazouali, Arnaud Gucciardi, Umberto Michelucci

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

Ganggui Ding, Canyu Zhao, Wen Wang, Zhen Yang, Zide Liu, Hao Chen, Chunhua Shen

专题命中 文生图 ：image generation(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments CVPR2024

Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data

Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, Jeremiah Liu

专题命中 文生图 ：text-to-image(title,abstract)；image editing(abstract)；分类 cs.CV

On Mechanistic Knowledge Localization in Text-to-Image Generative Models

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Ryan Rossi, Cherry Zhao, Vlad Morariu, Varun Manjunatha, Soheil Feizi

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Appearing in ICML 2024

Integrating View Conditions for Image Synthesis

Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou

专题命中 文生图 ：image synthesis(title,abstract)；image editing(abstract)；分类 cs.CV

Comments Accepted by IJCAI 2024

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder

Dana Arad, Hadas Orgad, Yonatan Belinkov

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Accepted to NAACL 2024 (Main Conference)

High-fidelity Person-centric Subject-to-Image Synthesis

Yibin Wang, Weizhong Zhang, Jianwei Zheng, Cheng Jin

专题命中 文生图 ：image synthesis(title)；image generation(abstract)；diffusion(abstract)；分类 cs.CV

Comments Accepted by CVPR2024. Code: https://github.com/CodeGoat24/Face-diffuser

Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance

Kelvin C. K. Chan, Yang Zhao, Xuhui Jia, Ming-Hsuan Yang, Huisheng Wang

专题命中 文生图 ：image synthesis(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments Accepted to CVPR 2024

PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Images

Jiquan Yuan, Fanyi Yang, Jihe Li, Xinyan Cao, Jinming Che, Jinlong Lin, Xixin Cao

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 12 pages. arXiv admin note: substantial text overlap with arXiv:2311.15556

DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization

Jisu Nam, Heesu Kim, DongJae Lee, Siyoon Jin, Seungryong Kim, Seunggyu Chang

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Project page is available at https://ku-cvlab.github.io/DreamMatcher/

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models

Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Chengini, Robert Brauneis, Soheil Feizi

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis

Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Christopher C. Kaltenecker, Christof A. Bertram

专题命中 文生图 ：image synthesis(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments 4 pages (short paper)

CosmicMan: A Text-to-Image Foundation Model for Humans

Shikai Li, Jianglin Fu, Kaiyuan Liu, Wentao Wang, Kwan-Yee Lin, Wayne Wu

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Accepted by CVPR 2024. The supplementary material is included. Project Page: https://cosmicman-cvpr2024.github.io

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization

Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments Project page: https://ldynx.github.io/harmony-zero-t2i/

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity

Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, Adriana Romero Soriano

专题命中 文生图 ：image generation(title,abstract)；text-to-image(abstract)；分类 cs.CV

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments First two authors contributed equally; Project website: https://selma-t2i.github.io/

Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners

Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan

专题命中 文生图 ：text-to-image(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments 10 pages

Teaching Text-to-Image Models to Communicate in Dialog

Xiaowen Sun, Jiazhan Feng, Yuxuan Wang, Yuxuan Lai, Xingyu Shen, Dongyan Zhao

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Comments Work in progress

Semantic Draw Engineering for Text-to-Image Creation

Yang Li, Huaqiang Jiang, Yangkai Wu

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 6pages, 5 figures

Journal ref Journal of Advances in Information Science and Technology, Volume 1, Issue 1, 2023, Pages 1-6

RefineNet: Enhancing Text-to-Image Conversion with High-Resolution and Detail Accuracy through Hierarchical Transformers and Progressive Refinement

Fan Shi

专题命中 文生图 ：text-to-image(title,abstract)；image generation(abstract)；分类 cs.CV

Comments 8 pages

Decoupled Textual Embeddings for Customized Image Generation

Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo

专题命中 文生图 ：image generation(title,abstract)；text-to-image(abstract)；分类 cs.CV

Comments 16 pages, 16 figures

Semantic Image Synthesis for Abdominal CT

Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers

专题命中 文生图 ：image synthesis(title,abstract)；diffusion(abstract)；分类 cs.CV

Comments This paper has been accepted at Deep Generative Models workshop at MICCAI 2023