Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Chefer, Hila, Alaluf, Yuval, Vinker, Yael, Wolf, Lior, Cohen-Or, Daniel·2023·ACM Transactions on Graphics

Cited by (461)

Items 301–400 of 461

  1. Efficient Personalization of Quantized Diffusion Model without Backpropagation
    Hoigi Seo, Wongi Jeong, K. Lee, Se Young Chun · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  2. ATA: Adaptive Transformation Agent for Text-Guided Subject-Position Variable Background Inpainting
    Yizhe Tang, Zhimin Sun, Yuzhen Du, Ran Yi, Guangben Lu, Teng Hu, Luying Li, Lizhuang Ma, Fangyuan Zou · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  3. RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine Transformations
    Chengde Lin, Xijun Lu, Guangxi Chen · 2024 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  4. ImEW: A Framework for Editing Image in the Wild
    Tasnim Mohiuddin, Tianyi Zhang, Maowen Nie, Jing Huang, Qianqian Chen, Wei Shi · 2023
  5. SAT: Self-Attention Control for Diffusion Models Training
    Jing Huang, Tianyi Zhang, Wei Shi · 2023
  6. Korean-style Disaster Image Generation Focused on Hanok: A Comparative Analysis of Fine-Tuning Techniques and their Applicability
    Minji Choi, Ru-Bin Won, Ji Hoon Choi, Byungjun Bae · 2023 · Journal of Broadcast Engineering
  7. Prompt-Based Segmentation and Inpainting : A New Approach to Disaster Image Creation
    Minji Choi, Ji Hoon Choi, Ru-Bin Won, Byungjun Bae · 2023 · International Conference on Information and Communication Technology Convergence (ICTC)
  8. Exploiting Diffusion Model as Prompt Generator for Object Localization
    Yuqi Jiang, Qiankun Liu, Yichen Li, Jia Hao, Ying Fu · 2024 · Communications in computer and information science
  9. Synthetic Data Generation for Accurate, Fair, and Private Recommender Systems
    Derek Lilienthal · 2024
  10. Text-Driven Editing of Real Images using Diffusion Models with Error Corrector
    Zhou Liu, Yican Zhang · 2024 · International Joint Conference on Neural Networks (IJCNN)
  11. SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers
    Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  12. ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion
    Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang · 2024 · Lecture notes in computer science
  13. Enhancing Transformer-based Semantic Matching for Few-shot Learning through Weakly Contrastive Pre-training
    Wei Yang, Tengfei Huo, Zhiqiang Liu · 2024 · ACM International Conference on Multimedia (ACM MM)
  14. Leveraging the Syntactic Structure of the Text Prompt to Enhance Object-Attribute Binding in Image Generation
    Maria Mihaela Truşcǎ, Wolf Nuyts, Jonathan Thomm, Robert Hönig, Thomas Hofmann, Tinne Tuytelaars, Marie‐Francine Moens · 2024
  15. PRIMEdit: Probability Redistribution for Instance-Aware Multi-Object Video Editing With a New Benchmark Dataset
    Samuel Teodoro, Agus Gunawan, Soo Ye Kim, Jihyong Oh, Munchurl Kim · 2026 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  16. A Unified Contrastive Framework with Multi-Granularity Fusion for Text-to-Image Generation
    Yachao He, Li Liu, Huaxiang Zhang, Dongmei Liu, Hongzhen Li · 2024 · ACM International Conference on Multimedia in Asia (MMAsia)
  17. Metric for Evaluating Stable Diffusion Models Using Attention Maps
    Haruno Fusa, Chonho Lee, Sakuei Onishi, Hiromitsu Shiina · 2024 · International Conference on Foundation and Large Language Models (FLLM)
  18. Text-Driven Image Inpainting with Cross Attention Control
    Danni Luo, Meiqing Wang, Hang Cheng, Fei Chen, Binyan Chen · 2024 · International Conference on Artificial Intelligence and Computer Engineering (ICAICE)
  19. Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention
    Danfeng Guo, Sanchit Agarwal, Yu-Hsiang Lin, Jiun-Yu Kao, Tagyoung Chung, Nanyun Peng, Mohit Bansal · 2025 · IEEE Winter Conference on Applications of Computer Vision
  20. Multi-View Image Diffusion via Coordinate Noise and Fourier Attention
    Justin D. Theiss, Norman Müller, Daeil Kim, Aayush Prakash · 2025 · IEEE Winter Conference on Applications of Computer Vision
  21. Concept-Edge Fusion: Background Generation for Product Presentation Based on Text-to-Image Model
    Pengfei Deng, Tianjiao Zhang, Weize Quan, Hanyu Wang, Qinglin Lu, Zhifeng Li, Dong-ming Yan A · 2025 · Lecture notes in computer science
  22. Diverse Adversarial Samples for Text-to-Image Generation via Quality-Diversity Optimization
    Thai Huy Nguyen, Ngoc Hoang Luong · 2025 · Communications in computer and information science
  23. Flow chart depicting a process with a central node labeled "VisionNet." The chart likely represents a system or model related to vision processing, with "VisionNet" as the focal point. The layout suggests a network or sequence of steps, though specific connections or additional nodes are not visible. : Bridging and Harmonizing Flow chart with a central node labeled "Visual" in pink text. The chart likely represents a process or concept related to visual elements, but no additional nodes or connections are visible. The background is white, emphasizing the central text. and Textual Conditioning for Flow chart with a central node labeled "ConvexNet." The chart likely represents a process or system related to this term, with potential connections or pathways not visible in the image.
    Soon Yau Cheong, Armin Mustafa, Andrew Gilbert · 2025 · Lecture notes in computer science
  24. LSReGen: Large-Scale Regional Generator via Backward Guidance Framework
    Bowen Zhang, Cheng Yang, Xuanhui Liu · 2025 · Lecture notes in computer science
  25. A Meaningful Perturbation Metric for Evaluating Explainability Methods
    Danielle Cohen, Hila Chefer, Lior Wolf · 2025 · Lecture notes in computer science
  26. SceneDiffusion: Scene Generation Model Embedded with Spatial Constraints
    Shanshan Yu, Jiaxin Zhu, Jiaqi Li, Xunchun Li, Kai Wang, Jian Tu, Danhuai Guo · 2025 · ISPRS International Journal of Geo-Information
  27. CompCraft: Foreground-Driven Image Synthesis With Customized Layouts
    Honglin Guo, Ruidong Chen, Weizhi Nie, Lanjun Wang, An-An Liu · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  28. TFCM: Tuning-Free Facial Concept-Erasure in Text-to-Image Models Through Attention and Sample Modulation
    Qin Guo, Guibo Luo, Zhiqiang Bai, Yuesheng Zhu · 2025 · Lecture notes in computer science
  29. Explainability of Language Models (XAI and LLM)
    Antonio Di Cecco, Leonida Gianfagna · 2025 · Springer eBooks
  30. Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization
    Lingyun Zhang, Yu Xie, Yanwei Fu, Ping Chen · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  31. Scribble-Guided Diffusion for Training-Free Text-to-Image Generation
    Seonho Lee, Jiho Choi, Seohyun Lim, Jiwook Kim, Hyunjung Shim · 2025 · Proceedings - International Conference on Image Processing
  32. Diffusion Models in a Nutshell: A Tutorial
    Anas M. Ali, Anis Koubâa, Bilel Benjdira · 2025 · Studies in computational intelligence
  33. Unlocking compositional potential: Leveraging specific feedback for text-to-image generation in diffusion models
    Xuexiang Niu, Jinping Tang, Ge Zhu, Lei Wang · 2025 · Expert Systems with Applications
  34. PiCo: Enhancing Text-Image Alignment with Improved Noise Selection and Precise Mask Control in Diffusion Models
    Changjun Xie, Chenyi Zhuang, Pan Gao · 2025 · IEEE International Conference on Multimedia and Expo workshops
  35. Mitigating inappropriate concepts in text-to-image generation with attention-guided Image editing
    Jiyeon Oh, Jae-Yeop Jeong, Yeong-Gi Hong, Jin-Woo Jeong · 2025 · PeerJ Computer Science
  36. UniCon: Unified image-guiding generation with noise consistency
    Yuanjun Liao, Yuning Gong, Yanci Zhang · 2025 · Applied Soft Computing
  37. DiDGen: Diffusion-Based Dual-Task Synthesis for Dermoscopic Data Generation
    Junjie Shentu, Matthew Watson, Noura Al Moubayed · 2025 · Lecture notes in computer science
  38. Attention, Emotion, and Authenticity: Eye-Tracking Evidence from AI vs. Human Visual Design
    Murat Aytaş, Kamil Kerem Yıldırım, Sefer Kalaman, Mustafa Böyük, Esma Nur Cerinan Otovic · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  39. Financial Models meets Generative Art: Black-Scholes-Inspired Concept Blending in Text-to-Image Diffusion
    Divya Kothandaraman, Ming C. Lin, Dinesh Manocha · 2025 · ACM International Conference on Multimedia (ACM MM)
  40. LoCo: Training-Free Layout-to-Image Synthesis with Localized Constraints
    Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou · 2025 · ACM International Conference on Multimedia (ACM MM)
  41. Draw Like an Artist: Complex Scene Generation With Diffusion Model via Composition, Painting, and Retouching
    Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
  42. Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
    Jingwei Sun, Xuchong Zhang, Changfeng Sun, Qicheng Bai, Hongbin Sun · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  43. Enhancing Object-Attribute Alignment in Diffusion Models via Training-Free Contrastive Parallel Denoising
    Wentao Xie, Xingyu Li · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  44. FastAno: Accelerating Defect Image Generation with Efficient Sampling
    Haoyu Guan, Qianzi Yu, Kai Zhu, Yang Hua Cao, Yu Kang · 2025 · IEEE International Conference on Multimedia and Expo (ICME)
  45. Refine, Control and Distill: A Text-to-Image Framework for Faithful Image Generation
    Peng Xing, Ning Wang, Yanpeng Sun, Jinhui Tang, Zechao Li · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  46. T-Stars-Poster: A Framework for Product-Centric Advertising Image Design
    Hongyu Chen, Min Zhou, Jing Jiang, Jiale Chen, Yang Lu, Zihang Lin, Bo Xiao, Tiezheng Ge, Bo Zheng · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  47. Multimodal LLM Guidance for Aligning Text-to-Image Generation
    Melike Nur Yeğin, Mehmet Fatih Amasyalı · 2025 · Communications in computer and information science
  48. GraspControl: Text-Sketch Instruction as an Interface for Controllable Grasp Synthesis
    Xiaopeng Wen, Songtao Tian, Yi Sun · 2025 · IEEE Robotics and Automation Letters
  49. Preserving instance-level characteristics for multi-instance generation
    Jaehak Ryu, Sung-Won Moon, Donghyeon Cho · 2025 · Image and Vision Computing
  50. MALeR: Improving Compositional Fidelity in Layout-Guided Generation
    Shivank Saxena, Dhruv Srivastava, Makarand Tapaswi · 2025 · ACM Transactions on Graphics
  51. A CNN-Based Framework for Cross-Modal Literary Text-to-Image Synthesis
    Yu Wu · 2025 · International Conference on Machine Learning, Pattern Recognition and Automation Engineering (MLPRAE)
  52. AI-Driven Visual Generation: Generative Adversarial Neural Network (GAN) and Diffusion Models
    Pedro Meira-Rodríguez, Vicente López-Chao · 2025 · Digital innovations in architecture, engineering and construction
  53. Text-Conditioned Background Generation for Editable Multi-layer Documents
    Taewon Kang, K J Joseph, Chris Tensmeyer, Jihyung Kil, Wanrong Zhu, Ming C. Lin, Vlad I. Morariu · 2026 · Lecture notes in computer science
  54. EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
    Vidya Prasad, Hans van Gorp, Christina Humer, Ruud J. G. van Sloun, Anna Vilanova, Nicola Pezzotti · 2025 · Computer Graphics Forum
  55. Evaluating Attribute Confusion in Fashion Text-to-Image Generation
    Ziyue Liu, Federico Girella, Yiming Wang, Davide Talon · 2026 · Lecture notes in computer science
  56. Hallucination Early Detection in Diffusion Models
    Federico Betti, Lorenzo Baraldi, Lorenzo Baraldi, Rita Cucchiara, Nicu Sebe · 2026 · International Journal of Computer Vision
  57. Generative AI vs Human Creativity: Comparative Study on Artistic Processes, Aesthetic Depth, and Value Orientation
    Xiao-Fei Yue, Zhong-Xi Lu, Yun Zhang, Lin Zou, Hongji Yang · 2025 · International Conferences on Dependable Systems and Their Applications
  58. PathSelect: Dynamic Token Condensation and Hierarchical Attention for Accelerated T2I Diffusion
    Yan Hong Fu, Gaolin Ye, Ou Ye, Ting Hou, Ruimin Dai · 2026 · Electronics
  59. UNCAGE: Contrastive Attention Guidance for Masked Generative Transformers in Text-to-Image Generation
    Wonjun Kang, Byeongkeun Ahn, Minjae Lee, Kevin Galim, Seunghyuk Oh, Hyung Il Koo, Nam Ik Cho · 2026 · IEEE Access
  60. Human–AI communication parameters for reproducible text-to-image workflows in AEC design across academia and practice
    Pedro Meira-Rodríguez, Vicente López-Chao · 2026 · Automation in Construction
  61. FoodDiff: A Collaborative Relationship Perception Framework for Food Image Synthesis Using Diffusion Models
    Mengling Xu, Sisi You, Bing-Kun Bao · 2026 · IEEE Transactions on Multimedia
  62. Masked Dual-Editing Diffusion Models for Multi-object Image Editing
    Hongyang Zhu, Haipeng Liu, Bo Fu, Yang Wang · 2026 · Lecture notes in computer science
  63. Text2Printing: Controllable Textile Digital Printing Pattern Generation with Attention Modulation
    Minghui Ding, Kaibing Zhang, Hui Zhang, Xuan Zhou, Junwei Wang · 2026 · Lecture notes in computer science
  64. Object-level semantic alignment for enhancing fidelity in text-to-image generation with diffusion models
    Wenna Liu, Na Tian, Youjia Shao, Wencang Zhao · 2026 · Image and Vision Computing
  65. Draw Inside the Box: Guiding Diffusion with Layout-Constrained Attention
    Baiyu Huo · 2025 · IEEE International Conference on Data Science and Computer Application (ICDSCA)
  66. Auto-Locate: A Training-Free Multi-instance Generation for Text-to-Image Diffusion Models
    Xiangzhi Tao, Kuangzhi Wang, Zhongyang Hu, Naijie Gu · 2026 · Lecture notes in computer science
  67. Template-Based Evaluation of Stable Diffusion via Attention Maps
    Haruno Fusa, Chonho Lee, Sakuei Onishi, Kanshin Fusa, Hiromitsu Shiina · 2026 · Information
  68. CORTEX-V: A cognitive reasoning toolkit for vision-based, cost-efficient layout optimization
    Muhammad Waqas Aslam, Zeqiang Zhang, Kaleem Ullah Qasim · 2026 · Computers & Operations Research
  69. FP-Director: Direction-Guided Latent Code Refinement for Facial-Preference Alignment in Text-to-Image Diffusion
    Yue Jiang, Yueming Lyu, Tianxiang Ma, Bo Peng, Jing Dong · 2026 · Lecture notes in computer science
  70. Semantic-similar Multi-concept Personalization with SA-LoRA and Composite-attention Regularization
    Suoyu Zhang, Eric C.C. Tsang, Yong Wang · 2026 · SSRN Electronic Journal
  71. Compositional Text-to-Image Synthesis With Training-Free Layout-Guided Diffusion
    Xiaoling Gu, Lingwei Luo, Shengqi Wu, Zizhao Wu, Zhenzhong Kuang, Zhou Yu · 2026 · IEEE Transactions on Multimedia
  72. ClassBooth: Boost Class Semantics With Bidirectional Feature Fusion in Text-to-Image Diffusion Models
    Yunfei Zhang, Jie Wang, Yan Huang, Tianyi Chen, Hau−San Wong, Si Wu · 2026 · IEEE Transactions on Multimedia
  73. Canvas3D: Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas
    Yuzhao Chen, Runlin Duan, Rahul Jain, Yichen Hu, Chuanlei Zhu, Jingyu Shi, Karthik Ramani A · 2026 · ACM International Conference on Intelligent User Interfaces (IUI)
  74. Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
    Jiyuan Wang, Chunyu Lin, Lei Sun, Zhi Cao, Yuyang Yin, Lang Nie, Zhenlong Yuan, Xiangxiang Chu, Yunchao Wei, Kang Liao et al. · 2026 · Lecture notes in computer science
  75. StarVid: Enhancing Semantic Alignment in Video Diffusion Models via S patial and Syn T actic Guided A ttention R efocusing
    Yuanhang Li, Qi Mao, Lan Chen, Zhen Fang, Lei Tian, Xinyan Xiao, Libiao Jin, Hua Wu · 2026 · IEEE Transactions on Multimedia
  76. Correlation-Weighted Multi-reward Optimization for Compositional Generation
    Jungmyung Wi, Hyun-Soo Kim, Donghyun Kim · 2026 · Lecture notes in computer science
  77. An Optimized Multi-Stage Pipeline for Prompt-Based Image Generation and Enhancement
    Karan Sood, Naman Nanda, Aravindh Kumar S M, Ananya Pararasampuria, Alice Nithya, C. Sherin Shibi, Praveen George, Gomathi Senguodan, Ankit Pandey, Sundar Srinivasan · 2025 · International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
  78. EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis
    Xiefan Guo, Xinzhu Ma, Haoxiang Ma, Zihao Zhou, Di Huang · 2026 · Lecture notes in computer science
  79. CASE: Confusion-Aware Semantic Enhancement for Multi-Object Text-to-Image Generation
    Xiaopeng Cao, Tian Zhang, Hailong Ning, Chunyang Zhao, Yizhuo Dong, Haojie Li · 2026 · Research Square
  80. ActionParty: Multi-subject Action Binding in Generative Video Games
    Alexander Pondaven, Ziyi Wu, Igor Gilitschenski, Philip H. S. Torr, Sergey Tulyakov, Fabio Pizzati, Aliaksandr Siarohin · 2026 · Lecture notes in computer science
  81. Rethinking Personalized T2I Diffusion Models from the Perspective of Redundancy
    Xierui Wang, Bohan Lei, Xiaoyin Xu, Fei Wu, Min Zhang · 2026 · International Journal of Computer Vision
  82. Generative models for complex visual content
    Marlène Careil · 2024
  83. Text-Based Semantic Image Editing
    Guillaume Couairon · 2023
  84. Internal methods for the generation and inpainting of images and videos
    Nicolas Cherel · 2024
  85. Generating archaeological line drawings from limited reference images
    Jing Xue, Xi Wang, Qian Zhang, Xi Yang, Chuntao Li · 2026 · npj Heritage Science
  86. SCoRE: Standardized Human Evaluation Provides a Reliable Measure for Semantic Consistency of Text-to-Image Generation
    Zejian Li, Qi Liu, Jiaman Pan, Rui Huang, Lefan Hou, Xiangfei Hu, Jiarui Ma, Shengyuan Zhang, Jiesi Zhang, Xuetao Tian et al. · 2026 · International Journal of Computer Vision
  87. Improving Text-Instance Alignment of Foreground Conditioned Out-Painting via Customized Concept Embedding
    Yihao Zhao, Xuan Ye Han, Bin He, Mingyu You · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  88. TDAttack: Enhancing Transferability of Unrestricted Adversarial Examples via Text-Driven Diffusion
    Shijie Zhao, Anjie Peng, Zhenyu Liang, Xing Yang, Haoqi Gao, Hui Zeng · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
  89. WordCon: Word-Level Typography Control in Visual Text Rendering
    Wenda Shi, Yiren Song, Zihan Rao, D X Zhang, Jiaming Liu, Xingxing Zou · 2026 · IEEE Transactions on Circuits and Systems for Video Technology
  90. Guiding Diffusion Models With Adaptive Negative Sampling Without External Resources
    Alakh Desai, Nuno M. Vasconcelos · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  91. Penalizing Boundary Activation for Object Completeness in Diffusion Models
    Haoyang Xu, Tianhao Zhao, Sibei Yang, Yutian Lin · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  92. Addressing Text Embedding Leakage in Diffusion-Based Image Editing
    Sunung Mun, Jinhwan Nam, Sunghyun Cho, Jungseul Ok · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  93. Di[M]O: Distilling Masked Diffusion Models Into One-Step Generator
    Yuanzhi Zhu, Xi Wang, Stéphane Lathuilière, Vicky S. Kalogeiton · 2025 · IEEE/CVF International Conference on Computer Vision (ICCV)
  94. Synthesizing Compositional Videos from Text Description
    Prajwal Singh, Kuldeep Kulkarni, Shanmuganathan Raman, Harsh Rangwani · 2026 · IEEE Winter Conference on Applications of Computer Vision
  95. Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image
    Sapir Esther Yiflach, Yuval Atzmon, Gal Chechik · 2026 · IEEE Winter Conference on Applications of Computer Vision
  96. Forget Less by Learning Together through Concept Consolidation
    Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Nalini Ratha, Venu Govindaraju · 2026 · IEEE Winter Conference on Applications of Computer Vision
  97. SphereEdit: Spherical Semantic Editing in Diffusion Models
    Salamata Konate, Hassan Hamidi, Elham Dolatabadi, Frank Rudzicz, Laleh Seyyed-Kalantari · 2026 · IEEE Winter Conference on Applications of Computer Vision
  98. Probing intrinsic bias: Internal attention feature analysis for social bias evaluation in diffusion models
    Hyeongmin Lee, Kyungjune Baek · 2026 · Neurocomputing
  99. How Multi-Modal LLMs Reshape Visual Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation
    Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang · 2026 · ACM Transactions on Software Engineering and Methodology
  100. MagicGeo: Training-free text-guided geometric diagram generation
    Ting Zhang, Junxiao Wang, Heng Yu, Qunyi Xie, Jingdong Wang, Hua Huang · 2026 · Graphical Models