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The content organizes multiple prompts describing humans, scenes, actions, and environments, then compares outputs produced by several methods including SD, Pose, ControlNet, Adapter, and Ours. It also lists style-related descriptors (e.g., long shot, HDR, lighting and emotion cues) and provides selected versus non-selected image outcomes. The examples cover both single and composite figures, with diverse subjects and 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supplemental material compares which generation methods?","Question",{"text":112,"@type":113},"It compares SD, Pose, ControlNet, Adapter, and Ours using the same or related prompts to show differences in the generated images.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What kinds of prompts are used in the examples?",{"text":117,"@type":113},"The document uses prompts describing human identity attributes (age, sex, shape), actions (running, climbing), and scenes (street locations, libraries, time and weather) to guide generation.",{"name":119,"@type":110,"acceptedAnswer":120},"How are image styles represented in the examples?",{"text":121,"@type":113},"It includes an image style selection such as emphasize, long shot, HDR, camera composition, and lighting/emotion-related descriptors to influence the final look.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},154930,1792199117,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},1374391974585,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Strategy Example  \nrough description  \n\u003C adj. >  \nimage style (14 styles)  \n\u003C n. >  \npreposition  \n\u003C prep. >  \nan extremely detailed  \na realistic …  \nphoto  \nsculpture …  \ndepicting  \nof …  \n\n| human number\u003Cbr>\u003C num. >\u003Cbr>human shape\u003Cbr>\u003C adj. >\u003Cbr>human age and sex\u003Cbr>\u003C adj. > + \u003C n. >\u003Cbr>action (from 5 datasets)\u003Cbr>\u003C v. > |  | one single\u003Cbr>two separate\u003Cbr>…\u003Cbr>thin\u003Cbr>strong\u003Cbr>…\u003Cbr>young girl\u003Cbr>old man\u003Cbr>…\u003Cbr>run\u003Cbr>climb up a ladder\u003Cbr>… |\n| --- | --- | --- |\n| scene\u003Cbr>\u003C n. >\u003Cbr>time\u003Cbr>\u003C adv. >\u003Cbr>weather\u003Cbr>\u003C adv. >\u003Cbr>human position\u003Cbr>\u003C adv. > | in the street of London\u003Cbr>in a library with piles of books …\u003Cbr>at midnight\u003Cbr>in the morning …\u003Cbr>in a rainy day\u003Cbr>in warm spring …\u003Cbr>facing left\u003Cbr>facing forward … |  |\n\nimage style emphasize  \n\u003C n. >  \nby Norman Rockwell  \na close up statue …  \ncamera composition  \n\u003C n. >  \nview  \n\u003C n. >  \nlight  \n\u003C n. >  \nemotion  \n\u003C n. >  \nmagic words  \n\u003C n. >  \nlong shot  \nwide shot … ahead view tilted …  \nfluorescent lighting strong shadows …  \nthreatening  \nspirited  \n…  \nmasterpiece  \nHDR  \n…  \n\n| (an extremely detailed) (photo) (depicting) (one single)  |\n| --- |\n| \u003Cbr>(long shot),(threatening),(masterpiece),(HDR) |\n|  Selected Not Selected  Image  Human  Scene  |\n\nA girl is running in the field A man standing in front of the White House  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours (a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA man looking at a big mountain  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours (a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA sketch depicting the Iron Man with hair  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA sketch depicting a man in the office  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA Chinese shadow play ofa woman standing  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA Kids Drawing depicting a girl  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \nA extremely detailed oilpainting ofa beautiful woman face  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \napiece of digital art ofa superwoman  \n(a) SD (b) Pose (c) ControlNet (d) Adapter (e) Ours  \n(a) (b) (c)  \nCartoon, a cartoon girl jumping with hearts in the air  \nCartoon, a scarecrow in the woods  \nMural, an oldpainting ofan angel  \nMural, an oldpainting ofan angel  \nSketch, man doing various poses  \nGarage kits, a stuffedanimalwith a smalltoy  \nRelief, aplaque with a man holding a flag anda boy  \nOilpainting, a man anda woman dancing ballet  \nCosplay, a woman with swordin her hand  \n(a) Pose (c) ControlNet (d) Ours  \nDigitalart, two people standing in the milky sky  \nChildren painting, a family with sun in notebook  \nMural, a mosaic of a man anda woman dancing  \nShadow play, a set of decorative items with people  \nSketch, a gymnast doing a handstand  \nGarage kits, a girl laying on the ground  \nWatercolor, a cucoloris looking at sky  \nOilpainting, girls dancing in a theater  \nChinese painting, a beautiful woman in Peking Opera  \n(a) Pose (c) ControlNet (d) Ours  \nChinese inkpainting, a woman sit in front ofmontains  \nKids drawing, man kneel down to woman with flowers  \nWallpainting, boys anda dog pulling a cart  \nShadow play, a couple in a room  \nGarage kits, a girl with pinkshirt orange hat  \nGarage kits, a girl in blackandredoutfit  \nUkiyoe, two man talking with each other  \nSculpture, a strong man sitting on a rock  \nOilpainting, the queen Play the harp in the forest  \n(a) Pose (c) ControlNet (d) Ours","cbCaitKt3rHfxlsM","https://ap.wps.com/l/cbCaitKt3rHfxlsM","pdf",18496472,"English","# Image styles and descriptors\n## Conditioning methods comparison\n## Example prompts and generated scenes","[{\"question\":\"This supplemental material compares which generation methods?\",\"answer\":\"It compares SD, Pose, ControlNet, Adapter, and Ours using the same or related prompts to show differences in the generated images.\"},{\"question\":\"What kinds of prompts are used in the examples?\",\"answer\":\"The document uses prompts describing human identity attributes (age, sex, shape), actions (running, climbing), and scenes (street locations, libraries, time and weather) to guide generation.\"},{\"question\":\"How are image styles represented in the examples?\",\"answer\":\"It includes an image style selection such as emphasize, long shot, HDR, camera composition, and lighting/emotion-related descriptors to influence the final look.\"}]","Ju_HumanSD_A_Native_ICCV_2023_supplemental - Image Style and Conditioning Comparison | PDF",1787901051,25]