Unconditional Image Generation Models
Unconditional image generation models are generative neural networks that learn the marginal distribution p(x) of a set of training images and produce new samples from that learned distribution, with no extra…
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Showing 181-206 of 206 articles
V-JEPA
V-JEPA (Video Joint Embedding Predictive Architecture) is a self-supervised video model from Meta AI that learns by predicting masked regions of a video in an abstract latent representation space rather than…
V-JEPA 2
V-JEPA 2 (Video Joint Embedding Predictive Architecture 2) is an open-source video world model released by Meta AI on June 11, 2025 that learns to understand, predict, and plan in the physical world by…
VGG
VGG (also called VGGNet) is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at the University of Oxford
VGGNet
VGGNet is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at the University of Oxford, that classifies images using a…
Video Classification Models
Video classification models are machine learning systems that assign one or more category labels to a video clip, typically describing the human action depicted.
Video-MME
Video-MME (Video Multi-Modal Evaluation) is a benchmark for testing how well multimodal large language models (MLLMs) understand video, built from 900 manually selected videos totaling 254 hours and 2,700…
Virtual Reality
Virtual reality (VR) is a computer-generated three-dimensional environment that a user can perceive, navigate and interact with in a way that simulates physical presence.
Vision Encoder
A vision encoder is the neural network component that turns an image into a sequence of numerical vectors that other models can consume.
Vision Transformer
The Vision Transformer (ViT) is a deep learning architecture that represents an image as a sequence of fixed-size patches and processes that sequence with a Transformer encoder.
Vision language model
Vision-language models (VLMs) are artificial intelligence models that learn relationships between visual data and natural language.
Vision-based tactile sensor
A vision-based tactile sensor, also called an optical or camera-based tactile sensor, is a category of tactile sensing that measures touch by watching it rather than by reading a strain gauge, a capacitor, or…
Visual Question Answering Models
Visual question answering models are AI systems that take an image and a natural language question about that image and return a natural language answer.
Visual question answering
Visual question answering (VQA) is the task of producing a natural-language answer to a natural-language question about an image.
WISE
WISE (World Knowledge-Informed Semantic Evaluation) is an AI benchmark that tests whether a text-to-image model actually possesses and correctly applies real-world knowledge when it draws a scene
Wan 2.1-VACE
Wan 2.1-VACE (also written Wan2.1-VACE) is an open-weights video creation and editing model released by Alibaba's Tongyi Lab on May 14, 2025 .
Wan 2.5
Wan 2.5 is a natively multimodal AI video generation model developed by Alibaba Cloud's Tongyi Lab and previewed at the company's Apsara 2025 conference in Hangzhou on September 24, 2025.
Wayve
Wayve is a British artificial intelligence company, founded in Cambridge in 2017 by Alex Kendall and Amar Shah, that develops end to end "embodied AI" software for autonomous driving and robotics, and in May…
World Labs
World Labs is an American spatial-intelligence company, headquartered in San Francisco, that builds "Large World Models" (LWMs), generative AI systems that perceive, generate, reason about and interact with…
YOLO (object detection)
YOLO (You Only Look Once) is a family of object detection models that treat detection as a single regression problem, predicting bounding boxes and class probabilities directly from full images in one forward…
YOLOv8
YOLOv8 is a family of one-stage computer vision models released by Ultralytics on January 10, 2023.
Yitu Technology
Yitu Technology (Chinese: 依图科技; pinyin: Yītú Kējì) is a Chinese artificial intelligence company headquartered in Shanghai that was founded in 2012 by Zhu Long (朱珑) and Lin Chenxi (林晨曦)
Zero-Shot Image Classification Models
Zero-shot image classification models are vision systems that assign images to categories the model has never encountered as labeled training examples.
ZeroBench
ZeroBench is a visual reasoning benchmark built to be effectively impossible for current frontier large multimodal models, which score 0.0% on its main questions.
olmOCR
olmOCR is an open toolkit and vision-language model from the Allen Institute for AI (Ai2) that turns PDFs and document images into clean, structured plain text and Markdown.
pix2pix
pix2pix is a supervised image-to-image translation method that learns a mapping between two visual domains from aligned input-output image pairs.