Computer imaginative and prescient moved quick in 2025: new multimodal backbones, bigger open datasets, and tighter mannequin–methods integration. Practitioners want sources that publish rigorously, hyperlink code and benchmarks, and monitor deployment patterns—not advertising posts. This listing prioritizes main analysis hubs, lab blogs, and production-oriented engineering shops with constant replace cadence. Use it to observe SOTA…
A staff of researchers from Meta Reality Labs and Carnegie Mellon University has launched MapAnything, an end-to-end transformer structure that straight regresses factored metric 3D scene geometry from photographs and elective sensor inputs. Released beneath Apache 2.0 with full coaching and benchmarking code, MapAnything advances past specialist pipelines by supporting over 12 distinct 3D imaginative…
In the domain of multimodal AI, instruction-based image editing models are transforming how users interact with visual content. Just released in August 2025 by Alibaba’s Qwen Team, Qwen-Image-Edit builds on the 20B-parameter Qwen-Image foundation to deliver advanced editing capabilities. This model excels in semantic editing (e.g., style transfer and novel view synthesis) and appearance editing…
Meta AI has just released DINOv3, a breakthrough self-supervised computer vision model that sets new standards for versatility and accuracy across dense prediction tasks, all without the need for labeled data. DINOv3 employs self-supervised learning (SSL) at an unprecedented scale, training on 1.7 billion images with a 7 billion parameter architecture. For the first time,…
Multimodal reasoning, where models integrate and interpret information from multiple sources such as text, images, and diagrams, is a frontier challenge in AI. VL-Cogito is a state-of-the-art Multimodal Large Language Model (MLLM) proposed by DAMO Academy (Alibaba Group) and partners, introducing a robust reinforcement learning pipeline that fundamentally upgrades the reasoning skills of large models…
Introduction Galileo is an open-source, highly multimodal foundation model developed to process, analyze, and understand diverse Earth observation (EO) data streams—including optical, radar, elevation, climate, and auxiliary maps—at scale. Galileo is developed with the support from researchers from McGill University, NASA Harvest Ai2, Carleton University, University of British Columbia, Vector Institute, and Arizona State University….
Estimated reading time: 5 minutes Table of contents Introduction The ThinkAct Framework Experimental Results Ablation Studies and Model Analysis Implementation Details Conclusion Introduction Embodied AI agents are increasingly being called upon to interpret complex, multimodal instructions and act robustly in dynamic environments. ThinkAct, presented by researchers from Nvidia and National Taiwan University, offers a breakthrough…
Vision-language models (VLMs) play a crucial role in today’s intelligent systems by enabling a detailed understanding of visual content. The complexity of multimodal intelligence tasks has grown, ranging from scientific problem-solving to the development of autonomous agents. Current demands on VLMs have far exceeded simple visual content perception, with increasing attention on advanced reasoning. While…
While VLMs are strong at understanding both text and images, they often rely solely on text when reasoning, limiting their ability to solve tasks that require visual thinking, such as spatial puzzles. People naturally visualize solutions rather than describing every detail, but VLMs struggle to do the same. Although some recent models can generate both…
Bridging the Gap Between Artistic Intent and Technical Execution Photo retouching is a core aspect of digital photography, enabling users to manipulate image elements such as tone, exposure, and contrast to create visually compelling content. Whether for professional purposes or personal expression, users often seek to enhance images in ways that align with specific aesthetic…