Prevailing Vision-Language-Action Models (VLAs) for robotic manipulation are built upon vision-language backbones pretrained on large-scale, but disconnected st...
This paper proposes a training data augmentation pipeline that combines synthetic image data with neural style transfer in order to address the vulnerability of...
The computational and memory overheads associated with expanding the context window of LLMs severely limit their scalability. A noteworthy solution is vision-te...
Working memory enables the brain to integrate transient information for rapid decision-making. Artificial networks typically replicate this via recurrent or par...
Edit your config.toml while the app is running and watch the pipeline update instantly. No recompiling. No stopping the camera. Pure iteration bliss. Why This M...
Introduction Data annotation is a foundational process in artificial intelligence that enables machines to learn from real‑world data. It involves adding meani...
An AI background remover may feel like magic at first glance. You upload an image, click a button, and the background disappears. Behind that simple interaction...
Renderizado de vídeo de cámara con Metal sin AVCaptureVideoPreviewLayer En este tutorial vamos a renderizar el video de la cámara directamente en pantalla usan...
The core challenge for streaming video generation is maintaining the content consistency in long context, which poses high requirement for the memory design. Mo...
This paper does not introduce a novel method but instead establishes a straightforward, incremental, yet essential baseline for video temporal grounding (VTG), ...
Non-parametric quantization has received much attention due to its efficiency on parameters and scalability to a large codebook. In this paper, we present a uni...
We introduce CRISP, a method that recovers simulatable human motion and scene geometry from monocular video. Prior work on joint human-scene reconstruction reli...
