Computer Vision Archives - AI Papers Academy

Sapiens: Foundation for Human Vision Models

In this post we dive into Sapiens, a new family of computer vision models by Meta AI that show remarkable advancement in human-centric tasks!

In this post we dive into Mixture of Nested Experts, a new method presented by Google that can dramatically reduce AI computational cost

Explore V-JEPA, which stands for Video Joint-Embedding Predicting Architecture. Another step in Meta AI’s journey for human-like AI

In this post we go back to the important vision transformers paper, to understand how ViT adapted transformers to computer vision

Following LCM-LoRA release, in this post we explore the evolution of diffusion models up to latent consistency models with LoRA

In this post we explain the paper “Vision Transformers Need Registers” by Meta AI, that explains an interesting behavior in DINOv2 features

In this post we dive into Emu, a text-to-image generation model by Meta AI, which is quality-tuned to generate highly aesthetic images.

In this post we cover FACET, a new dataset created by Meta AI in order to evaluate a benchmark for fairness of computer vision models

DINOv2 by Meta AI finally gives us a foundational model for computer vision. We’ll explain what it means and why DINOv2 can count as such

Dive into I-JEPA, Image-based Joint-Embedding Predictive Architecture, the first model based on Yann LeCun’s vision for a more human-like AI.