000163836 001__ 163836 000163836 005__ 20251107115329.0 000163836 0247_ $$2doi$$a10.1109/CVPR52734.2025.00260 000163836 0248_ $$2sideral$$a145835 000163836 037__ $$aART-2025-145835 000163836 041__ $$aeng 000163836 100__ $$0(orcid)0000-0002-5275-8652$$aBernal-Berdun, Edurne$$uUniversidad de Zaragoza 000163836 245__ $$aPreciseCam: Precise Camera Control for Text-to-Image Generation 000163836 260__ $$c2025 000163836 5060_ $$aAccess copy available to the general public$$fUnrestricted 000163836 5203_ $$aImages as an artistic medium often rely on specific camera angles and lens distortions to convey ideas or emotions; however, such precise control is missing in current text-to-image models. We propose an efficient and general solution that allows precise control over the camera when generating both photographic and artistic images. Unlike prior methods that rely on predefined shots, we rely solely on four simple extrinsic and intrinsic camera parameters, removing the need for pre-existing geometry, reference 3D objects, and multi-view data. We also present a novel dataset with more than 57,000 images, along with their text prompts and ground-truth camera parameters. Our evaluation shows precise camera control in text-to-image generation, surpassing traditional prompt engineering approaches. 000163836 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T25-24$$9info:eu-repo/grantAgreement/ES/MICIU/PID2022-141766OB-I00 000163836 540__ $$9info:eu-repo/semantics/embargoedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000163836 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion 000163836 700__ $$0(orcid)0000-0002-7796-3177$$aSerrano, Ana$$uUniversidad de Zaragoza 000163836 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza 000163836 700__ $$aGadelha, Matheus 000163836 700__ $$aHold-Geoffroy, Yannick 000163836 700__ $$aSun, Xin 000163836 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza 000163836 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf. 000163836 773__ $$g2025 (2025), 2724-2733$$pProc.- IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit.$$tProceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition$$x1063-6919 000163836 8564_ $$s16450327$$uhttps://zaguan.unizar.es/record/163836/files/texto_completo.pdf$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2026-08-13 000163836 8564_ $$s2562457$$uhttps://zaguan.unizar.es/record/163836/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint$$zinfo:eu-repo/date/embargoEnd/2026-08-13 000163836 909CO $$ooai:zaguan.unizar.es:163836$$particulos$$pdriver 000163836 951__ $$a2025-11-07-10:25:42 000163836 980__ $$aARTICLE