**Generative Adversarial Networks (GANs) for Image Synthesis
The article covers Generative Adversarial Networks (GANs) for image synthesis, appealing to an audience interested in image recognition and AI.
š¼ļø Image and Video Recognition: How AI Is Transforming Tagging, Search, and Multimedia Intelligence
The article highlights how AI is transforming image and video recognition, making it relevant to visual recognition technologies.
Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing
arXiv:2605.29809v1 Announce Type: cross Abstract: Large-scale text-to-image (T2I) diffusion models have enabled unprecedented creative applications, but their unauthorized use has raised serious...
Finding DoRI: Discovery of Retained Images in Diffusion Models
arXiv:2507.16880v3 Announce Type: replace-cross Abstract: Text-to-image diffusion models (DMs) have achieved remarkable success in image generation. However, concerns about data privacy and...
FullFlow: Upgrading Text-to-Image Flow Matching Models for Bidirectional Vision--Language Generation
The article upgrades text-to-image models emphasizing the integration of language and visual processing.
Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
This article discusses recent advances in fully AI-generated image detection technology, which directly relates to the feed's focus on image recognition and object detection.
GenShield: Unified Detection and Artifact Correction for AI-Generated Images
This article details advancements in AI-generated image detection and correction, relating to image recognition technologies.
Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty?
The Visual Aesthetic Benchmark evaluates how large language models perceive beauty, linking it indirectly to fields such as image recognition.
MediumMay 11Seeing the World Through AI Eyes: Real-Time Object Detection Using YOLOv8
The article explores real-time object detection using YOLOv8, which relates to advancements in video AI.
Video Becomes Data for AI Models | CDOTrends
The article mentions how AI transforms video images into data and trains models, linking it to object detection and video AI.
Before the image knows what it is
This article examines the workings of diffusion models in image recognition, aligning it with advancements in visual AI technology.
Can Vision Models Truly Forget? Mirage: Representation-Level Certification of Visual Unlearning
This article addresses machine unlearning in vision models, making it relevant to object detection and visual transformers.
Best AI Video Generator (May 2026) ā Top AI Video Generation Models Ranked by Humans
It focuses on diffusion transformers as the primary technology for creating AI video generators, aligning closely with video AI topics.
Latest AI Video Generation Models: 2026 Innovation Guide
This guide on the latest AI video generation models appeals to readers interested in video AI innovations and visual transformer technologies.
NVIDIA LocateAnything-3B : GoodBye YOLO Object Detection
NVIDIA LocateAnything-3B introduces a new object detection method, marking a notable advancement in AI technology.
Lightweight Complementary-Cue Fusion for Robust Video Face Forgery Detection
The article discusses a method for detecting video face forgery, integrating concepts related to image recognition and object detection.
MediumMay 14CNNs and Pretrained Models: How Computers Learned to Recognize Cats Better Than Some Humans
This article explains how convolutional neural networks (CNNs) have improved image recognition capabilities for identifying cats.
[2605.06892] Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation
This article presents diffusion transformers' efficiency in video generation, relevant to visual AI topics.
Seedream 5.0 - The Next Generation AI Image Generator for Creators
Seedream 5.0 introduces cutting-edge diffusion models for digital art creation.
MediumMay 6Image Classification ExplainedāāāHow Machines Turn Pixels Into Meaning
This article explains the process of image classification, highlighting its complexity and relevance in visual AI technologies.
Edit-R1: Why Image Editing Needs a Reasoning Verifier, Not Just a Score
The article argues for the necessity of a reasoning verifier in image editing processes.
MediumMay 2Seeing Through Lies: How Computer Vision Is Changing the Way We Detect Image Forgery
It explains how advances in computer vision technology are being used to detect image forgery.
Best AI Image Tools 2026: Top Picks Ranked
A ranking of the top AI image generation tools for 2026.
Qwenās New VAE Compresses Images 32x and Still Reads the Text
Qwen introduces a new VAE that compresses images while maintaining text readability, impacting the fields of image recognition and AI.
MMCL-Bench: Multimodal Context Learning from Visual Rules, Procedures, and Evidence
The introduction of MMCL-Bench, focused on multimodal context learning, is relevant to advancements in image recognition and vision-language models.
MediumMay 11The Image Generation War Nobody Told You About: Gemini AI or Chat GPT?
This article explores the competitive landscape between AI tools Gemini AI and Chat GPT in visual generation.
Diffusion Models, Denoiser Architecture and Creativity
arXiv:2605.16415v2 Announce Type: replace-cross Abstract: The creativity of diffusion models refers to their ability to generate highly realistic images that are different from their training...
VidPrism: Heterogeneous Mixture of Experts for Image-to-Video Transfer
arXiv:2605.28229v1 Announce Type: cross Abstract: With the rapid development of pre-training technologies, adapting large-scale Vision-Language Models (VLMs) for video understanding \emph{\ie}...
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
This article on visual attribution for generation process integrates image recognition and visual AI advancements.
Co-Fusion4D: Spatio-temporal Collaborative Fusion for Robust 3D Object Detection
The paper presents methods for robust 3D object detection, relevant to the field of video AI.
Using CLIP and HuggingFace Transformers to create a zero-shot image classifier
The article discusses the use of CLIP and HuggingFace Transformers for creating a zero-shot image classifier, focusing on advanced image processing techniques.
MediumMay 1The 2026 Guide to Finding the Best AI Image Generator Without Losing Your Mind
A detailed guide on finding the best AI image generator.
Robust and Generalizable Safety Steering for Text-to-Image Diffusion Transformers
arXiv:2605.30049v1 Announce Type: new Abstract: Diffusion Transformers have become a powerful backbone for text-to-image generation, but their layered and cross-modal generation process makes...
When Preprocessing Helps-and When It Hurts: Why Your Image Classification Model's Accuracy Varies SoĀ Much
Analyzes the factors affecting image classification model accuracy.
Perception-based Image Denoising via Generative Compression
The article focuses on image denoising methods using generative compression techniques.
Neuroscience of Image Creation:Why Your Brain Shapes Your Prompts in MidJourney
The article explores how the neuroscience behind image creation influences the prompts used in AI-generated art.
MediumMay 10Stepping Inside the Frame: How āMatrix-Gameā Turns Single Images into Playable Worlds
The article explores how a new model converts single images into interactive environments using text-to-video technology.
RF-DETR Hits Hugging Face Transformers: SOTA Real-Time Detection
Roboflow's RF-DETR is integrated into Hugging Face Transformers, showcasing advancements in real-time detection models.
Transformer (deep learning architecture)
This article covers deep learning architectures used in image and video generation, including relevant models like DALL-E and Stable Diffusion.
I Tested Kimg AI ā A Surprisingly Powerful AI Image Generator
Recently Iāve been testing different AI image generator tools for creating social media visuals, thumbnails, concept art, and marketing content. One platform that honestly surprised me was Kimg...
June 9 - Visual AI in Healthcare: Ground Truth in the Foundation-Model Era
Join us on June 9 for a virtual workshop to learn how to handle expert label disagreement and build high performing fine-tuned medical foundation models for clinical imaging tasks. Register for...
Nano Banana AI Image Generator: Architecture, Working, and Implementation Deep Dive
Lightweight AI image generation systems such as Nano Banana AI Image Generator represent the growing movement toward:
Benchmarking Convolutional, Transformer, Hybrid, and Vision Language Models for Multi Disease Retinal Screening
arXiv:2605.26283v1 Announce Type: cross Abstract: Modern deep learning offers powerful tools for automated retinal screening, but it remains unclear how different visual model families compare in...
Medium1d agoTopaz Gigapixel Technical Teardown 2026: Nine AI Models, One Upgrading Question Worth Answering
If you work with images long enough, you eventually hit the same wall: somebody sends you a 600-pixel JPEG and needs it on a billboard. Orā¦
MediumMay 14Understanding mAP Like a Researcher
Explains the complexities of object detection evaluation metrics in research.
Top Emerging AI Video Generator Trends for 2026
The article explores emerging trends in AI video generators, highlighting important advancements.
Medium1d agoUnderstanding Image Data - Preprocessing for Machine Learning: From Raw Images to Model-Ready Data
A Beginner-Friendly Guide to Image Loading, Resizing, Numerical Conversion, Flattening, and Dataset Creation Using Python and OpenCV.
How to Evaluate AI Models for Agents, RAG, and Chatbots
AI products are becoming multi-model by default. A chatbot may need one model for fast replies. A RAG application may need another model for reasoning over retrieved documents. An AI agent may...
ImageNet Classification with Deep Convolutional Neural Networks
Authors: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton (University of Toronto)
NVIDIAās 3B Model Just Embarrassed 30B Vision Models
It detects anything you can describe, runs 10x faster than its rivals, and fits in a third of the size. The trick: it stopped spelling outā¦
Your internet, curated by AI
Describe what you care about in plain English. MyFeed scans thousands of sources and delivers only what matters to you.
Popular feeds
AI tools & productsStartup fundingReact & Next.jsSpace explorationCybersecurity