Sheng-Yu Wang
@ShengYuWang6
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RT @nupurkmr9: Can we generate a training dataset of the same object in different contexts for customization? Check out our work SynCD, whi…
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RT @maxwell54650346: I recently gave a talk at CMU about DeepSeek v3 and DeepSeek R1 (as many people are interested haha), and the talk was…
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RT @lmxyy1999: Excited to share that #SVDQuant was featured in Forbes! 🎉 Read about how our approach unlocks efficient diffusion models: ht…
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RT @JiachenWang97: Excited to announce the ICLR 2025 Workshop on Data Problems for Foundation Models (DATA-FM)! We welcome submissions exp…
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RT @miv_cvpr2025: 🔍 Curious about what's really happening inside vision models? Join us at the First Workshop on Mechanistic Interpretabil…
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RT @materzynska: Our project demo is LIVE! 🎨✨ Check out the Art-Free Diffusion model and the Art Adapters build on top of it! https://t.co/…
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RT @GauravTParmar: [1/4] Ever wondered what it would be like to use images—rather than text—to generate object and background compositions?…
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RT @xunhuang1995: 🥇CausVid is ranked 1st on VBench (among officially evaluated video generation models). 🚀It is also several hundred times…
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RT @Boyiliee: I’ve dreamt of creating a tool that could animate anyone with any motion from just ONE image… and now it’s a reality! 🎉 Super…
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Using touch sensing to track how objects move in 3D!! Very cool work 😎
🚀 Introducing NormalFlow: the state-of-the-art tactile tracking algorithm! Just by touch 👇, it precisely tracks objects—even with minimal texture—and can even reconstruct objects! 🌟 project page: paper (RA-L): ⬇️(1/4)
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I will be presenting this at #NeurIPS2024 today! Come if interested :) - Wed 11 Dec 4:30 — 7:30 pm - East Exhibit Hall A-C - Poster ID 2603
Generative models create an image inspired by the training data. But which training data are used to synthesize an image? Our #NeurIPS2024 work attributes a generated image to influential training data -- by unlearning *synthesized* images. Page: 1/7
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Come check out Ruihan's poster at #NeurIPS2024 today!! - Wed (Dec 11th) 11 am - 2 pm - East Exhibit Hall A-C - Poster ID 4905
3D content creation with touch! We exploit tactile sensing to enhance geometric details for text- and image-to-3D generation. Check out our #NeurIPS2024 work on Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation: 1/3
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RT @RuihanGao2: 3D content creation with touch! We exploit tactile sensing to enhance geometric details for text- and image-to-3D generati…
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Work with my amazing mentors @AaronHertzmann, A. A. Efros, @junyanz89, and @rzhang88!!! Paper link: Github link: 7/7
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