I am reaching out to you to support a crucial cause: helping my family members who are in dire need to find safety and security away from the hardships they're facing in Gaza. 1/5🧵 #Gaza #GazaIsStarving #Palestine #Help #GazaStrip #fund #gofundmedonations #support #diabetes

yayy I got an outstanding research award at the uni today 🥳 many thanks to our president Metin Hoca and our dean Attila Hoca, not only for the nomination but also for the support 😇

Hippocrates is finally out! This started as a course project but quickly turned into one of the most satisfying and fun projects we did within our project group. As Emre Can states, we have a lot to explore, while our core team keeps on growing. Stay tuned for updates.

🎉Exciting News! Introducing SonicDiffusion: A new approach to audio-driven image generation and editing with pretrained diffusion models. Our latest research paper is now available on arXiv!🚀 📄Paper: arxiv.org/abs/2405.00878 🌐Project Page: cyberiada.github.io/SonicDiffusion/  [1/8]

📢Excited to share our recent work ✂️CLIPAway, a plug-and-play solution to simple object removal using latent diffusion models. It works like a charm! 📄Paper: arxiv.org/abs/2406.09368 🔗Project website: yigitekin.github.io/CLIPAway/ 🤗Hugging Face Spaces Demo: huggingface.co/spaces/yigitek…

I am excited to share that two of our research works will be presented at ECCV 2024. #ECCV2024 They focus on augmenting language models with fine-grained visual recognition ability. AutoVER made successful attempts at generative visual recognition. It was accepted to the ECCV

🧵 1/4 Introducing ColFlor: An Efficient, OCR-Free Vision-Language Document Retrieval Model 🌟 Earlier this year, ColPali transformed document retrieval by removing error-prone OCR pipelines, creating embeddings directly from images. However, its 3 billion parameters make it

Can we use the intermediate representations of pretrained video generation models to generate audio, and vice versa? 🤔🔀 It turns out that this approach can be powerful. Introducing AV-Link, an approach to connect video and audio diffusion models in a self-contained framework

Diffusion models are very strong and robust feature extractors, but recent works were only using them for recognition tasks. In our recent work (led by MOAYED HAJi ALi), we harness them for video2audio generation: they by far outperform conventional video feature extractors for

Introducing ⚗️ Video Alchemist Our new video model supporting 👪 Multi-subject open-set personalization 🏞️ Foreground & background personalization 🚀 Without the need of inference-time tuning snap-research.github.io/open-set-video… [Results] 1. Sora girl rides a dinosaur on a savanna 🧵👇

Happy to announce AlignVLM📏: a novel approach to bridging vision and language latent spaces for multimodal understanding in VLMs! 🌍📄🖼️ 🔗 Read the paper: arxiv.org/abs/2502.01341 🧵👇 Thread