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Introducing ULIP-2, our latest work scaling multimodal pre-training for 3D understanding without the need for any manual annotations. Check out our code & released large-scale tri-modal datasets! github.com/salesforce/ULIP Arxiv: arxiv.org/abs/2305.08275 Blog: blog.salesforceairesearch.com/ulip/

Excited to introduce a new generative large multi-modal model for image generation and editing using natural language! Great collaboration Salesforce AI Research Salesforce AI Research and Stanford U! Web: shorturl.at/lmMX6 ArXiv: arxiv.org/abs/2305.11147 Code: github.com/salesforce/Uni…

Amazing Silvio Savarese Salesforce AI new generative large multi-modal for image generation & editing w/ NLP! Great collaboration Salesforce AI Research & ⁦Stanford University⁩. Web: shorturl.at/lmMX6 ArXiv: arxiv.org/abs/2305.11147 Code: github.com/salesforce/Uni… github.com/salesforce/Uni…

Salesforce AI Research Code: github.com/salesforce/ULIP Paper: arxiv.org/abs/2305.08275 Research by: Le Xue, Ning Yu, Shu Zhang, Chen Xing,Li Junnan, Caiming Xiong, xu ran, Juan Carlos Niebles, Silvio Savarese

We present ✍️GlueGen✍️, efficient adapters for diffusion models, that achieves X-to-image generation by multimodal controls: multilingual texts, sounds, and their mixes. arXiv: arxiv.org/pdf/2303.10056… Web: canqin001.github.io/GlueGen-Page/ Code: github.com/salesforce/Glu… (1/n)

Excited to share our GlueGen. Thanks everyone for your wonderful work! See you in ICCV!

📢 Our BannerGen open-source library incorporates LayoutDETR, LayoutInstructPix2Pix, and RetrieveAdapter in parallel for diversified experience of banner designs. Great work from the team: Chia-Chih Chen*, Ning Yu*, Zeyuan Chen, Shu Zhang, xu ran

🎉ULIP-2 is accepted to #CVPR2024.🎉 May the recaptioning force be with your 3D multimodal learning. Paper: arxiv.org/pdf/2305.08275… Code: github.com/salesforce/ULIP Blog: blog.salesforceairesearch.com/ulip/ Team: Le Xue Ning Yu Shu Zhang Artemis Panagopoulou Li Junnan Roberto

I will present HIVE in CVPR. See you on next Wednesday!

Released paper: "Adversarial Generator-Encoder Networks" with V. Lempitsky, A. Vedaldi. arxiv.org/abs/1704.02304 code github.com/DmitryUlyanov/…

New blog post on our #AAAI2018 FlowGAN paper by Aditya Grover and Manik Dhar: surprising results comparing GAN vs. mixture of Gaussians! goo.gl/WiiVbM (btw Manik is applying to PhD programs - check out his folder if you are hiring)