Tomer Borreda

PhD student @ Technion

[Tomer Borreda @TomerBorreda]

📢 RadarGen: Automotive Radar Point Cloud Generation from Cameras

Can we generate realistic radar point clouds solely from camera images? 🚗📡

We introduce RadarGen, a diffusion-based framework that synthesizes radar returns aligned with visual scenes.

https://t.co/IYCQ8mVcmC

[Or Litany @orlitany]

Excited that RadarGen is accepted to #ECCV2026! Looking forward to chatting radar simulation in Malmö — let’s push this underexplored topic forward.
@eccvconf

[Tomer Borreda @TomerBorreda]

Excited to share that my first PhD paper, RadarGen, got accepted to #ECCV2026! 🎉
Let’s talk about radar simulation in Malmö 🇸🇪

[Tomer Borreda @TomerBorreda]

📢 RadarGen: Automotive Radar Point Cloud Generation from Cameras

Can we generate realistic radar point clouds solely from camera images? 🚗📡

We introduce RadarGen, a diffusion-based framework that synthesizes radar returns aligned with visual scenes.

https://t.co/IYCQ8mVcmC

[Ido Sobol @IdoSobol]

Tired of 3D generations that look synthetic? They don’t have to.
Excited to share that Realiz3D is accepted to #CVPR2026 🎉
A framework for training diffusion models that are 3D-consistent, controllable, and photorealistic.
🔗 Project page: https://t.co/8UDsFk6N1A
🎥 Teaser ↓

[Or Litany @orlitany]

🚗📡Radar is the unsung hero of AV perception: widespread in cars, yet overlooked in simulation.

Introducing RadarGen: Realistic radar synthesis from cameras using diffusion.

Massive kudos to my fantastic team at @TechnionLive and @NVIDIAAI

https://t.co/YVBoVi9atT

[Tomer Borreda @TomerBorreda]

RadarGen marks a step toward unified generative simulation across modalities. 🚀

Thanks to my advisor @orlitany, and collaborators: @Toytiny3, @FidlerSanja, @ShengyHuang !

Check out the full paper for details:
Project: https://t.co/IYCQ8mVcmC
Paper: https://t.co/w2SMxpGXhM

[Tomer Borreda @TomerBorreda]

📢 RadarGen: Automotive Radar Point Cloud Generation from Cameras

Can we generate realistic radar point clouds solely from camera images? 🚗📡

We introduce RadarGen, a diffusion-based framework that synthesizes radar returns aligned with visual scenes.

https://t.co/IYCQ8mVcmC

[Tomer Borreda @TomerBorreda]

Performance 📊

RadarGen generates point clouds with higher geometric and attribute fidelity to Ground Truth compared to the baseline.

It also enables consistent scene editing.

Crucially, the generated radar data can be interpreted by detectors trained on real data.