{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:14:55Z","timestamp":1758672895195,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Text-to-image diffusion models have emerged as powerful tools for high-quality image generation and editing. Many existing approaches rely on text prompts as editing guidance. However, these methods are constrained by the need for manual prompt crafting, which can be time-consuming, introduce irrelevant details, and significantly limit editing performance. In this work, we propose optimizing semantic embeddings guided by attribute classifiers to steer text-to-image models toward desired edits, without relying on text prompts or requiring any training or fine-tuning of the diffusion model. We utilize classifiers to learn precise semantic embeddings at the dataset level. The learned embeddings are theoretically justified as the optimal representation of attribute semantics, enabling disentangled and accurate edits. Experiments further demonstrate that our method achieves high levels of disentanglement and strong generalization across different domains of data.  Code is available at https:\/\/github.com\/Chang-yuanyuan\/CASO.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/84","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"747-755","source":"Crossref","is-referenced-by-count":0,"title":["Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization"],"prefix":"10.24963","author":[{"given":"Yuanyuan","family":"Chang","sequence":"first","affiliation":[{"name":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University"}]},{"given":"Yinghua","family":"Yao","sequence":"additional","affiliation":[{"name":"Center for Frontier AI Research, Agency for Science, Technology and Research, Singapore"},{"name":"Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore"}]},{"given":"Tao","family":"Qin","sequence":"additional","affiliation":[{"name":"MOE Key Laboratory for Intelligent Networks and Network Security, Xi\u2019an Jiaotong University"}]},{"given":"Mengmeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Zhejiang University of Technology"},{"name":"SGIT AI Lab, State Grid Corporation of China"}]},{"given":"Ivor","family":"Tsang","sequence":"additional","affiliation":[{"name":"Center for Frontier AI Research, Agency for Science, Technology and Research, Singapore"},{"name":"Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore"}]},{"given":"Guang","family":"Dai","sequence":"additional","affiliation":[{"name":"SGIT AI Lab, State Grid Corporation of China"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:32:54Z","timestamp":1758627174000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/84"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/84","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}