Noam Rotstein

Stable Diffusion Tutorials @SD_Tutorial · Oct 30

Minimax h3 😲 Motion Time to move

implementation of time-to-move dual clock denoising for Minimax H3, allowing for motion control by dragging objects into motion, or mask part of a video
and change what happens.

github:
github.com/PxTicks/h3-mot…

workflow:
drive.google.com/file/d/1mOHYcR…

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Assaf Singer Verified account @assaf_singer · Nov 2

🚀 Introducing ReLift: dense 3D tracking from monocular video.

Strong 2D trackers provide correspondences.
Geometry models produce depth & cameras.

We show how to combine them, repair 3D errors, and recover occluded motion for SOTA 3D tracking.

All it takes: one small corrector + off-the-shelf models.

🌐 Project: relift3d.github.io
@MarounKhriesh @NoamRot @yoni_kasten @orlitany

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Shelly Golan @Shelly_Golan1 · Sep 30

Excited to share that our paper "ParetoSlider: Diffusion Models Post-Training for Continuous Reward Control" has been accepted to @NeurIPSConf as an oral! 🎉

ParetoSlider enables continuous inference-time control over competing reward trade-offs with a single diffusion model, without retraining or maintaining multiple checkpoints.

Huge thanks to the great team @mikikiFin, @ArielBAMath, @YotamNitzan, @OPatashnik

Paper: arxiv.org/abs/2604.20816
Project page: shelley-golan.github.io/ParetoSlider-w…
Code: github.com/Shelley-Golan/…

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Navve wasserman @NavveW · Jun 9

How can we tell whether a brain region causally represents a visual concept, rather than merely correlating with it?

Introducing BrainCause, a framework combining generative and brain models to create controlled stimuli and causally test neural representations.

More below 🧠👇

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