Shariq Farooq
@shariq_farooqPhD @ KAUST👨💻 | Worked with @intel , @Adobe , @Stanford @ucl | Author of ZoeDepth, AdaBins, LooseControl | Exploring the 3D world, one image at a time 🔍 |
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Our work, ZoeDepth, has been **rejected** from ICCV. But I am absolutely thrilled at how well it was received by the community! Here are some of my favorite use cases 👇
I am hiring 3 postdocs at #KAUST to develop an Artificial Scientist for discovering novel chemical materials for carbon capture. Join this project with @FaccioAI at the intersection of RL and Material Science. Learn more and apply: faccio.ai/postdoctoral-p…
Introducing Sora, our text-to-video model. Sora can create videos of up to 60 seconds featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions. openai.com/sora Prompt: “Beautiful, snowy…
This video was generated by Sora. That's the new model by OpenAI. The most advanced text-to-video tool created so far. I'll share the videos here. Absolutely insane. Prompt: This close-up shot of a Victoria crowned pigeon showcases its striking blue plumage and red chest. Its…
Testing Image to #3D in ZoeDepth and exporting out to Blender - still need to figure out how to map the image back Thanks @shariq_farooq ! 🤘
Cinematic Title Background: 1) Prompt 3D texture in #midjourney 2) Clean BG in #photoshop 3) 2D animate in @AdobeVideo #aftereffects 4) Image to #3D in ZoeDepth 5) 3D Animation in @maxon #cinema4d 3-part tutorial starting here 😎 youtu.be/4rR737Wzcj4?si…
This paper has received significantly less attention than it deserves, so let me shed a bit more light on it and describe why it's so good: 1. It turns out that the classical U-Net image diffusion backbone, which the entire community has been happily building upon during the…
Analyzing and Improving the Training Dynamics of Diffusion Models paper page: huggingface.co/papers/2312.02… Diffusion models currently dominate the field of data-driven image synthesis with their unparalleled scaling to large datasets. In this paper, we identify and rectify several…
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Need more control over your generations? Create the foreground and background separately and use ZoeDepth to create the 3D background. A quick tutorial here. I’ll be using this for my next project together with 3D.CSM.AI #makebigfilms
Check out my most recent work with @peter_wonka : "Text2AC-Zero" for generating videos of Animated Characters using pre-trained 2D diffusion models. Our approach is temporally consistent, zero-shot and requires only text prompt as input. Project page: abdo-eldesokey.github.io/text2ac-zero/
PatchFusion lifts ZoeDepth to very high resolution and natively supports 4K+ input! Can’t wait to see the community trying it out for various applications where ZoeDepth couldn’t provide the details!
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation @Gradio demo is out on @huggingface demo: huggingface.co/spaces/zhyever… run with docker: huggingface.co/spaces/zhyever… duplicate space with private gpu and no queue:…
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation @Gradio demo is out on @huggingface demo: huggingface.co/spaces/zhyever… run with docker: huggingface.co/spaces/zhyever… duplicate space with private gpu and no queue:…
Two excellent Depth estimation models have recently come out- 1⃣PatchDiffusion (@zhenyu_li9955,@shariq_farooq et al.) 2⃣Marigold from ETH Zürich team (@KBingxin, @AntonObukhov1 et al.) Code and examples in tweets below
Researchers presented LooseControl, a model that can change AI-generated images by using 3D boxes. You can set up the boxes, and the tool will generate an image based on their positions and sizes. Try the demo: 80.lv/articles/turni… #AI #GenerativeAI #controlnet #technews
Proud of Adobe Research 🔥🥹✨
LooseControl was just released and it's so good! 🔥 It enables depth-map conditioned image generation, but unlike ControlNet, the 3D boxes enable less strict control with simple bounding boxes. And look at how stable it is across frames! More examples (with code) below ⬇️⬇️
PatchFusion was just released. Compared to ZoeDepth, it predicts depth maps with much finer details, just look at the comparison below! 🤯 Its main contribution is a new Global-to-Local module and Consistency-Aware Training. More examples below (with code) ⬇️⬇️
LooseControl was just released and it's so good! 🔥 It enables depth-map conditioned image generation, but unlike ControlNet, the 3D boxes enable less strict control with simple bounding boxes. And look at how stable it is across frames! More examples (with code) below ⬇️⬇️
PatchFusion, our new 4K depth estimation model, significantly improves the details and quality of depth maps produced by ZoeDepth 👇
Check our new work PatchFusion! It estimates high-resolution metric depth with intricate details for high-resolution input image. Zhenyu Li, Shariq Farooq Bhat (@shariq_farooq), Peter Wonka (@peter_wonka) Webpage: zhyever.github.io/patchfusion/
🚀 Excited to share our SIGGRAPH Asia work! 📚 iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis 🔍TLDR: Maximize reuse of source image pixels for novel view synthesis from a single image. 🔗 Website: yashkant.github.io/invs 🌐 #SIGGRAPHAsia2023 #Research #iNVS
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