Richard Zhang
@rzhang88
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Sr Research Scientist @AdobeResearch PhD @berkeley_ai, BS/MEng @cornellece 🤖 Computer vision, deep learning, graphics
San Francisco, CA
Joined March 2010
RT @rohitgandikota: Can you ask a Diffusion Model to break down a concept? 👀 SliderSpace 🚀 reveals maps of the visual knowledge naturally…
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@medhini_n In a cooking competition on Mars, a chef forgets to secure the blender lid, sending green smoothie floating in low gravity. Contestants struggle to catch the mess, surrounded by red dust, futuristic equipment, and a glowing countdown clock ticking away in the Martian kitchen.
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RT @ShengYuWang6: I will be presenting this at #NeurIPS2024 today! Come if interested :) - Wed 11 Dec 4:30 — 7:30 pm - East Exhibit Hall A…
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RT @ShengYuWang6: Generative models create an image inspired by the training data. But which training data are used to synthesize an image?…
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RT @TianweiY: Video diffusion models generate high-quality videos but are too slow for interactive applications. We @MIT_CSAIL @AdobeResea…
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RT @nupurkmr9: Check out our #SIGGRAPHASIA2024 technical paper, CustomDiffusion360, that adds object viewpoint control during customization…
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RT @minguk_kang: We're excited to introduce our new 1-step image generator, Diffusion2GAN at #ECCV2024, which enables ODE-preserving 1k ima…
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I'll be speaking about Data Attribution, including our recently accepted NeurIPS 2024 paper: Work w/ @ShengYuWang6, @AaronHertzmann, @junyanz89, A. A. Efros AI4VA workshop @eccvconf, 11:45am at Amber Room 2. See you there!
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(4/3) Links with additional information Webpage: Paper: Project video:
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RT @YotamNitzan: LazyDiffusion is accepted to #ECCV2024! Traditional image editing methods regenerate unchanged pixels, wasting time and…
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Happening soon! Following talks from @junyanz89 and @SergeyTulyakov. Summit 423-425 in the GenAI Media Generation workshop:
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