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 ⚡️.
🧵
Even today, with powerful image editing models, making fine-grained structural changes to 3D shapes remains a major challenge.
In our new #SIGGRAPH2026 paper, Prox-E, we use primitive-based abstraction to leverage VLMs for precise, reasoning-based 3D editing!
👇
Excited to share our work accepted to #SIGGRAPH2026 ! Video generation models struggle with something few talk about: their transformations don't evolve smoothly. You get long boring stretches... then a sudden semantic jump where everything "catches up" at once.
1/7
When rewards conflict, what should RL post-training of diffusion models optimize?
In visual generation, objectives are often in tension:
Prompt adherence can conflict with source preservation.
Photorealism can conflict with stylization.
In our new paper, ParetoSlider, we introduce a multi-objective RL framework that trains a single diffusion model for continuous control over competing reward objectives 🧵
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 🔥
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 👇
[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: https://t.co/4sAnR8FcZ1 🚀
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.
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! 👏
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.
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
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: https://t.co/6Ml3IZLWKt
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
@DanaCohenBar@DanielCohenOr1 For a complete overview of the project, including more examples and a video, please visit our project page: https://t.co/Fx4w7O8tZh
📷
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 ⚡️.
🧵
9/9
Dive into the details or try it yourself!
📄 Paper: https://t.co/qPmwj4twpo
💻 Code: https://t.co/ECq1n1BsVK
🤗 Demo: https://t.co/LExzWJJvlq
Huge thanks to my amazing collaborators, @DanaCohenBar and @DanielCohenOr1 !