Dvir Samuel
@dvir_samuel
🎉 Thank you @_akhaliq for featuring our work! We’re happy to release the 💻 code & 🤗 Hugging Face demo for Add-it, our #ICLR2025 paper: 💻 Code: github.com/NVlabs/addit 🤗 Demo: huggingface.co/spaces/nvidia/…
Nvidia presents Add-it Training-Free Object Insertion in Images With Pretrained Diffusion Models
🚀Introducing SISO – a plug-and-play approach for image personalization using just one image!
🎉 I'm happy to share that our paper, Make It Count, has been accepted to #CVPR2025! A huge thanks to my amazing collaborators - @YoadTewel, @SegevHilit , @hirscheran, @RoyiRassin, and @GalChechik! 🔗 Paper page: make-it-count-paper.github.io Excited to share our key findings!
Excited to share that our paper, “Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval”, has been accepted to TMLR! TMLR: openreview.net/pdf?id=b68QOen… Project Page: github.com/barleah/Greedy… Short Video Presentation: youtu.be/bHDARDpu8Fg
I am excited to present 3to4D! A method for animating user-provided 3D objects by conditioning on textual prompts to guide 4D generation. This work was done together with @Orimalca, @dvirsam, and @GalChechik . Project page: 3-to-4d.github.io/3-to-4d/