Papers5

All Beginner Intermediate Advanced

All Sources arXiv

#foundation models

JUST-DUB-IT: Video Dubbing via Joint Audio-Visual Diffusion

Intermediate

Anthony Chen, Naomi Ken Korem et al.Jan 29arXiv

This paper shows a simple, one-model way to dub videos that makes the new voice and the lips move together naturally.

#video dubbing#audio-visual diffusion#joint generation

LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries

Intermediate

Shijie Lian, Bin Yu et al.Jan 21arXiv

Robots often learn a bad habit called the vision shortcut: they guess the task just by looking, and ignore the words you tell them.

#Vision-Language-Action#Bayesian decomposition#Latent Action Queries

Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning

Intermediate

Seijin Kobayashi, Yanick Schimpf et al.Dec 23arXiv

The paper shows that big sequence models (like transformers) quietly learn longer goals inside their hidden activations, even though they are trained one step at a time.

#hierarchical reinforcement learning#temporal abstractions#autoregressive models

RadarGen: Automotive Radar Point Cloud Generation from Cameras

Intermediate

Tomer Borreda, Fangqiang Ding et al.Dec 19arXiv

RadarGen is a tool that learns to generate realistic car radar point clouds just from multiple camera views.

#automotive radar#radar point cloud generation#latent diffusion

Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching

Intermediate

Bowen Wen, Shaurya Dewan et al.Dec 11arXiv

Fast-FoundationStereo is a stereo vision system that sees depth from two cameras in real time while still working well on brand‑new scenes it was never trained on.

#stereo matching#zero‑shot generalization#knowledge distillation