🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

FreeControl is how you get instant controllability for image generation for free! Sicheng and Fangzhou developed this simple training-free method that allows any condition for any pre-trained diffusion models. Paper and more results: genforce.github.io/freecontrol/

Denoising Vision Transformers paper page: huggingface.co/papers/2401.02… identify crucial artifacts in ViTs caused by positional embeddings and propose a two-stage approach to remove these artifacts, which significantly improves the feature quality of different pre-trained ViTs

Thanks for sharing our work!@_akhaliq Our code and gradio demo has been released. Code: github.com/genforce/freec… Project Page: genforce.github.io/freecontrol/

We are happy to announce the first Vision and Language for Autonomous Driving and Robotics (VLADR) workshop at #CVPR2025 2024! Call for contributions and more details 👇🏻 vision-language-adr.github.io See you in Seattle! 😃

So many new LLM architectures (Mambas🐍, Transformers🤖,🦙,🦔, Hyenas🐺,🦓…), so little GPU time to combine them into hybrid LLMs… Good news! Today we release Manticore, a system for creating **pretrained hybrids** from pretrained models! 👨‍🌾🦁🦂 arxiv.org/pdf/2406.00894 1/n

In case you were wondering what’s going on with the back of the #CVPR2024 T-shirt: it’s a hybrid image made by Aaron Inbum Park and Daniel Geng! When you look at it up close, you’ll just see the Seattle skyline, but when you view it from a distance, the text “CVPR” should appear.

Very excited to get this out: “DVT: Denoising Vision Transformers”. We've identified and combated those annoying positional patterns in many ViTs. Our approach denoises them, achieving SOTA results and stunning visualizations! Learn more on our website: jiawei-yang.github.io/DenoisingViT/

Ctrl-X was accepted to #NeurIPS2024! We present a guidance-free structure and appearance control method for any pre-trained diffusion model. Paper, code, and results: genforce.github.io/ctrl-x It was awesome collaborating with Sicheng Mo✈️CVPR Ben Klingher Fangzhou Mu Bolei Zhou :D

🚀 I am recruiting PhD students for Fall 2025 at the UCLA Robot Intelligence Lab! 🤖 If you are interested in robot learning and human-robot interaction, mark me as a potential adivisor when you apply to the UCLA CS PhD program! #PhD #Robotics UCLA CS Department

🚀 Introducing CAT4D! 🚀 CAT4D transforms any real or generated video into dynamic 3D scenes with a multi-view video diffusion model. The outputs are dynamic 3D models that we can freeze and look at from novel viewpoints, in real-time! Be sure to try our interactive viewer!

Come by our poster tomorrow :D

Mitigating racial bias from LLMs is a lot easier than removing it from humans! Can’t believe this happened at the best AI conference NeurIPS Conference We have ethical reviews for authors, but missed it for invited speakers? 😡

Oh great, it is accepted by #ICLR2025 as Spotlight paper!

YoChameleon Personalized Vision and Language Generation

✨New preprint: Dual-Process Image Generation! We distill *feedback from a VLM* into *feed-forward image generation*, at inference time. The result is flexible control: parameterize tasks as multimodal inputs, visually inspect the images with the VLM, and update the generator.🧵

Join our #CVPR2025 Workshop on Real2Sim: Bridging the Gap between Neural Rendering and Robot Learning on 6/12! With amazing speakers: Marco Pavone Dhruv Shah Gordon Wetzstein Lingjie Liu Sicheng Mo Ruohan Zhang Carlo Sferrazza ⏲️ Thu, 6/12, 1:45-5:30 PM CDT 🏢 Davidson

#CVPR2025 is around the corner!! Join us at the Workshop on T4V at #CVPR2025 with a great speaker lineup (Mike Shou, Jianwei Yang, Wenhu Chen, Roei Herzig, Yuheng Li, Kristen Grauman) covering diverse topics! Website: sites.google.com/view/t4v-cvpr2… #CVPR #Transformer #Vision #T4V2025 #T4V