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difan liu difan liu i am a research scientist at adobe research where i work on computer graphics computer vision and machine learning i received my phd from umass amherst advised by evangelos kalogerakis prior to umass amherst i got my bachelor s degree with honors in electrical engineering from university of science and technology of china internships i m always happy to host research interns at adobe research if you are interested in working with me please send me an email describing your past experience and current research interests email nbsp nbsp research research my research interests include generative models multimodal generation and editing i am particularly interested in the synthesis and editing of images video and vector graphics based on machine learning veggie instructional editing and reasoning of video concepts with grounded generation shoubin yu difan liu ziqiao ma yicong hong yang zhou hao tan joyce chai mohit bansal equal contribution iccv 2025 project dollar few step video generation via distillation and latent reward optimization zihan ding chi jin difan liu haitian zheng krishna kumar singh qiang zhang yan kang zhe lin yuchen liu iccv 2025 project rethinking layered graphic design generation with a top down approach jingye chen zhaowen wang nanxuan zhao li zhang difan liu jimei yang qifeng chen iccv 2025 pdf videogigagan towards detail rich video super resolution yiran xu taesung park richard zhang yang zhou eli shechtman feng liu jia bin huang difan liu cvpr 2025 project progressive autoregressive video diffusion models desai xie zhan xu yicong hong hao tan difan liu feng liu arie kaufman yang zhou cvpr cveu workshop 2025 pdf visual persona foundation model for full body human customization jisu nam soowon son zhan xu jing shi difan liu feng liu aashish misraa seungryong kim yang zhou cvpr 2025 project move in 2d 2d conditioned human motion generation hsin ping huang yang zhou jui hsien wang difan liu feng liu ming hsuan yang zhan xu cvpr 2025 project customize a video one shot motion customization of text to video diffusion models yixuan ren yang zhou jimei yang jing shi difan liu feng liu mingi kwon abhinav shrivastava eccv 2024 project harivo harnessing text to image models for video generation mingi kwon seoung wug oh yang zhou difan liu joon young lee haoran cai baqiao liu feng liu youngjung uh eccv 2024 project vecfusion vector font generation with diffusion vikas thamizharasan difan liu shantanu agarwal matthew fisher michaël gharbi oliver wang alec jacobson evangelos kalogerakis equal contribution cvpr 2024 nbsp highlight pdf nivel neural implicit vector layers for text to vector generation vikas thamizharasan difan liu matthew fisher nanxuan zhao evangelos kalogerakis michal lukáč cvpr 2024 pdf visual layout composer image vector dual diffusion model for design layout generation mohammad amin shabani zhaowen wang difan liu nanxuan zhao jimei yang yasutaka furukawa cvpr 2024 project attention driven training free efficiency enhancement of diffusion models hongjie wang difan liu yan kang yijun li zhe lin niraj jha yuchen liu cvpr 2024 pdf sned superposition network architecture search for efficient video diffusion model zhengang li yan kang yuchen liu difan liu tobias hinz feng liu yanzhi wang cvpr 2024 pdf lrm large reconstruction model for single image to 3d yicong hong kai zhang jiuxiang gu sai bi yang zhou difan liu feng liu kalyan sunkavalli trung bui hao tan iclr 2024 nbsp oral presentation pdf project asset autoregressive semantic scene editing with transformers at high resolutions difan liu sandesh shetty tobias hinz matthew fisher richard zhang taesung park evangelos kalogerakis siggraph journal track 2022 pdf low res pdf high res project neural strokes stylized line drawing of 3d shapes difan liu matthew fisher aaron hertzmann evangelos kalogerakis iccv 2021 pdf project neural contours learning to draw lines from 3d shapes difan liu mohamed nabail aaron hertzmann evangelos kalogerakis cvpr 2020 pdf project parsenet a parametric surface fitting network for 3d point clouds gopal sharma difan liu subhransu maji evangelos kalogerakis siddhartha chaudhuri radomír měch eccv 2020 pdf project neural shape parsers for constructive solid geometry gopal sharma rishabh goyal difan liu evangelos kalogerakis subhransu maji tpami 2020 pdf code deep part induction from articulated object pairs li yi haibin huang difan liu evangelos kalogerakis hao su leonidas guibas siggraph asia 2018 pdf code csgnet neural shape parser for constructive solid geometry gopal sharma rishabh goyal difan liu evangelos kalogerakis subhransu maji cvpr 2018 pdf code product impacts tech transfers and demos generative extend in premiere pro 2025 firefly generate video 2024 image trace 2 0 in illustrator 2024 generative fill in photoshop 2023 firefly text to image 2023 project glyph ease at adobe max sneaks 2023 project res up at adobe max sneaks 2023 this webpage is cool
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