Excited to introduce our new work: ImageRAG 🖼️✨
https://t.co/k6ieQYigDu
We enhance off-the-shelf generative models with Retrieval-Augmented Generation (RAG) for unknown concept generation, using a VLM-based approach that’s easy to integrate with new & existing models!
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[1/10] 🚨 We present our recent @Snap project: Stable Flow --- A training-free method that performs various types of image editing operations (e.g., non-rigid editing, object addition and replacement) using flow models.
Project page: https://t.co/g0Naul2hoQ
🔔🔔Thrilled to share #MoMo [@SIGGRAPHAsia 2024 🥳🎉]: Exploring the attention space of #MotionDiffusionModels. Our training-free method enables cool applications like this motion transfer 🐒🐒.
https://t.co/euqSM9Ceij
[1/7] 📜 I can finally share that our recent @NVIDIA project DiffUHaul --- A Training-Free Method for Object Dragging in Images has been accepted to #SIGGRAPHAsia2024 🎉.
Project Page: https://t.co/PPZKi1OwR9
Can finally share that our The Chosen One paper about consistent characters generation has been accepted to #SIGGRAPH2024 🎉
More details are available here: https://t.co/RMqVqWRW9a
Thanks @AK for sharing 🙏
Differential Diffusion
Giving Each Pixel Its Strength
Text-based image editing has advanced significantly in recent years. With the rise of diffusion models, image editing via textual instructions has become ubiquitous.
[1/9] 🚨 We present our recent @GoogleAI project: The Chosen One --- a fully automated solution for the task of consistent character generation in text-to-image diffusion models 🧑🎨.
Project Page: https://t.co/JfMvAfnrad
[1/8] I'm so happy to share that our Break-A-Scene paper from @GoogleAI got accepted to #SIGGRAPHAsia2023!
TL;DR: Given a single image with multiple visual concepts, our method can "break" the image by learning a distinct token for each concept.
https://t.co/Q50nXgJZPc
[1/5] I'm happy to share that our Blended Latent Diffusion paper has been (finally!) accepted to #SIGGRAPH2023 🥳
TL;DR: We present a method that adapts a latent text-to-image model for a local text-driven image editing method
Project Page: https://t.co/fIaPK4rgrc
[1/5] Always wondered what people see when looking at a Rorschach test?
SpaText - our recent #CVPR2023 paper from @MetaAI may give you a sneak peek!
TL;DR: We extend text-to-image models with region-specific textual controllability.
Project Page: https://t.co/QNnfgn3d9m
[1/n] I am happy to share that our GAN Cocktail paper was accepted to #ECCV2022@eccvconf!
Many thanks to my great supervisors @DaniLischinski and @ohadf!
The project page is available at: https://t.co/6EKlAke9rV
I'm excited to share that our Blended Diffusion paper has been accepted to #CVPR2022!
Thanks to my supervisors @DaniLischinski and @ohadf!
Project page (code included): https://t.co/rONZseH0Ot
Our course on Advances in Neural Rendering is now freely available on YouTube!
Check out the amazing talks about the ongoing revolution of computer graphics!
Part I: https://t.co/NbdgrzidI3
Part II: https://t.co/inOw5DSGol
@_atewari@ohadf@MZollhoefer
"Editing Self-Image," by @ohadf, @jsquare, Adam Finkelstein, and @magrawala, examines the ubiquity of selfies, the rise of digital photo manipulation technologies, and their effect on self-perception. https://t.co/Db89AmlUNs