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hareesh ravi fork of tactile jekyll theme for my website hareesh ravi i am a senior applied research scientist at adobe s applied research team working on language vision research and generative ai i completed my phd from the cs department at the intelligent visual interfaces lab in rutgers university my phd thesis was on multimodal story comprehension under the supervision of dr mubbasir kapadia and dr gerard de melo my research interests are on vision language understanding text with applications to multimodal story comprehension including story illustration visual storytelling image captioning and text to image retreival generation my current work is particulaly focused on text to image generation with diffusion flow based models interactive editing and large multimodal models internships we are always on the lookout for summer phd research interns to work on text to image generation interactive and multi turn editing and multimodal models if you are interested reach out to me via email or linkedin with your cv below is a list of current and past summer interns 2024 maitreya jitendra patel asu disentangled representation learning song wen rutgers object centric representation learning manuel brack tu darmstadt text to image generation xianghao kong uc riverside image generation as scene composition 2023 wonwoong cho purdue controllability of diffusion models eccv 2024 research projects industry highlighting projects and softwares that i developed or led the development of adobe s latest text to image generative model firefly image model 3 with higher quality and text to image alignment news coverage in tech radar pc mag venture beat and the verge i was the technical lead of this project and contributed to the core architecture training and inference improvements state of the art zero shot stylized image generation enables generating an image conditioned on text prompt and a style reference image released in firefly image model 2 selected news articles that talk about the model and its capabilities are cg channel tech crunch ai business the feature is based on my patent on zero shot stylized image generation on diffusion models structure match enables generating an image conditioned on a text prompt and a reference image to match the structure released in firefly image model 2 structure and style match both were rated as best in class by zdnet i was the technical lead of this project photographic and content type control on adobe s firefly image model 2 based on our research here is the release blog from adobe project was part of the firefly 2 project that i co led firefly image model 2 adobe s text to image generative model that gives high quality aesthetics and reaslism and trained only on copyrighted data selectd news articales that covered the model include cnet tech crunch ai business i contributed to the core architectural design choices that improved realism text to image alignment and aesthetics and was the co technical lead of the project selected research publications enhanced controllability of diffusion models via feature disentanglement and realism enhanced sampling methods wonwoong cho hareesh ravi midhun harikumar vinh khuc krishna kumar singh jingwan lu david i inouye ajinkya kale eccv 2024 pdf bibtex arxiv preditor text guided image editing with diffusion prior hareesh ravi sachin kelkar midhun harikumar ajinkya kale preprint 2023 pdf bibtex arxiv controlled and conditional text to image generation with diffusion prior pranav aggarwal hareesh ravi ajinkya kale preprint 2023 pdf bibtex arxiv cross modal coherence model for text to image retrieval hareesh ravi malihe alikhani fangda han mubbasir kapadia vladimir pavlovic mathew stone aaai 2022 pdf bibtex arxiv aesop abstract encoding of storied objects and pictures hareesh ravi kushal kafle scott cohen jonathan brandt mubbasir kapadia iccv 2021 pdf code bibtex arxiv show me a story towards coherent neural story illustration hareesh ravi lezi wang carlos muniz leonid sigal dimitris metaxas mubbasir kapadia cvpr 2017 pdf code bibtex work experience may 2020 aug 2020 deep learning research intern advisers dr scott cohen dr kushal kafle dr jonathan brandt june 2017 sep 2017 project associate intern adviser dr mubbasir kapadia nov 2013 june 2016 research associate adviser dr a v subramanyam teaching experience teaching assistant fall 2016 intro to discrete structures teaching assistant spring 2017 principles of programming languages teaching assistant fall 2017 topics in ai data storytelling teaching assistant spring 2021 intro to discrete structures professional experience program committee cvpr 2024 program committee aaai 2023 cvpr 2023 program committee aaai 2022 cvpr 2022 wacv 2022 eccv 2022 program committee naacl 2021 acl 2021 reviewer emnlp 2020