Roi Bar-On

21 posts

Roi Bar-On

Roi Bar-On

@roibar_on

Katılım Eylül 2021
135 Takip Edilen42 Takipçiler
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Roi Bar-On
Roi Bar-On@roibar_on·
1/9 Excited to share EditP23! 🎨 Finally, a single tool for ALL your 3D editing needs: ✅ Pose & Geometry Changes ✅ Object Additions ✅ Global Style Transformations ✅ Local Modifications All driven by one simple 2D image edit. It's mask-free ✨ and works in seconds ⚡️. 🧵
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Roi Bar-On
Roi Bar-On@roibar_on·
Better graphics than GTA-VI will ever have? 👀 Video games are finally bridging the uncanny valley. Incredible work by @DanaCohenBar & team on RealMaster, using IC-LoRA to turn video diffusion models into a 2nd stage renderer that perfectly balances photorealism and fidelity 🔥
Dana Cohen Bar@DanaCohenBar

DLSS 5 is all over the timeline, and for good reason. In my internship at @AIatMeta we had the same idea: use a video model as a learned second-stage renderer on top of game engines. In our paper RealMaster, we make synthetic video look real while preserving scene fidelity 👇

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Sagi Polaczek 🦜
Sagi Polaczek 🦜@PolaczekSagi·
[1/4] Sync about it… 💭✨ Editing a portrait video yet keeping it fully synced with the original across the entire sequence. Read more about Sync-LoRA: sagipolaczek.github.io/Sync-LoRA/ 🚀
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Shai Yehezkel
Shai Yehezkel@YehezkelShai·
Visual Diffusion Models are Geometric Solvers We cast geometry as images: a plain diffusion model denoises into valid solutions. It is simple, general and effective. Shown on Inscribed Square, Steiner Tree, and Maximum Area Polygonization - all classic hard problems.
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Roi Bar-On
Roi Bar-On@roibar_on·
Fantastic paper by @nirgoren and the team! 📄✨ The core insight that initial noise is so correlated with the final image is wild 🤯. This makes cryptographically-secure 🔒, model-free authorship verification a practical reality. Awesome work! 👏
Nir Goren@nirgoren

The initial noise in diffusion models is surprisingly correlated with the final image. Our NoisePrints paper exploits this to provide a lightweight, distortion-free, cryptographically secure watermark for proving authorship of generated images & videos, requiring no model access.

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Shelly Golan
Shelly Golan@Shelly_Golan1·
T2I models excel at realism, but true creativity means generating what doesn't exist yet. How do you prompt for something you can't describe? 🎨 We introduce VLM-Guided Adaptive Negative Prompting: inference time method that promotes creative image generation. 1/6
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Roi Bar-On
Roi Bar-On@roibar_on·
Tired of complex prompts being ignored & static CFG limits? 😫 Huge congrats @YehezkelShai @OmerDahary @kusichan & @DanielCohenOr1 on their SIGGRAPH Asia paper! Their "Annealing Guidance" reacts as the image is created, adapting guidance for results a fixed value can't match. 🚀✨ Project: annealing-guidance.github.io/annealing-guid…
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Omer Dahary@OmerDahary

Everyone uses CFG with w = 7.5… but why?? 🤔 For non-trivial prompts, choosing w is hard: too low → weak alignment, too high → artifacts. We show w shouldn’t be fixed — it should adapt! ✨ We present a tiny but smart MLP to adjust w over time → Better images/alignment 🚀 1/n

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Roi Bar-On
Roi Bar-On@roibar_on·
1/9 Excited to share EditP23! 🎨 Finally, a single tool for ALL your 3D editing needs: ✅ Pose & Geometry Changes ✅ Object Additions ✅ Global Style Transformations ✅ Local Modifications All driven by one simple 2D image edit. It's mask-free ✨ and works in seconds ⚡️. 🧵
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Linoy Tsaban
Linoy Tsaban@linoy_tsaban·
🔔just landed: IP Composer🎨 semantically mix & match visual concepts from images ❌ text prompts can't always capture visual nuances ❌ visual input based methods often need training / don't allow fine grained control over *which* concepts to extract from our input images So👇
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Rana Hanocka
Rana Hanocka@RanaHanocka·
Excited to share our Text2Mesh [#CVPR2022] paper on 3D mesh stylization 🎨 Our framework stylizes an input mesh by adding color + local geometric details to conform to a user-specified text description. We do this w/o a 3D training dataset 👀💪 1/9 threedle.github.io/text2mesh/
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