Computer Vision

This AI Paper from China Introduces Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization

There has been a recent uptick in the development of general-purpose multimodal AI assistants capable of following visual and written directions, thanks to the...

Meta Reality Labs Introduce Lumos: The First End-to-End Multimodal Question-Answering System with Text Understanding Capabilities

Artificial intelligence has significantly advanced in developing systems that can interpret and respond to multimodal data. At the forefront of this innovation is Lumos,...

Meet BootsTAP: An Effective Method for Leveraging Large-Scale, Unlabeled Data to Improve TAP (Tracking-Any-Point) Performance

In the past few years, generalist AI systems have shown remarkable progress in the field of computer vision and natural language processing and are...

Meet SPHINX-X: An Extensive Multimodality Large Language Model (MLLM) Series Developed Upon SPHINX

The emergence of Multimodality Large Language Models (MLLMs), such as GPT-4 and Gemini, has sparked significant interest in combining language understanding with various modalities...

Google AI Introduces ScreenAI: A Vision-Language Model for User interfaces (UI) and Infographics Understanding

The capacity of infographics to strategically arrange and use visual signals to clarify complicated concepts has made them essential for efficient communication. Infographics include...

Unveiling EVA-CLIP-18B: A Leap Forward in Open-Source Vision and Multimodal AI Models

In recent years, LMMs have rapidly expanded, leveraging CLIP as a foundational vision encoder for robust visual representations and LLMs as versatile tools for...

Enhancing Vision-Language Models with Chain of Manipulations: A Leap Towards Faithful Visual Reasoning and Error Traceability

Big Vision Language Models (VLMs) trained to comprehend vision have shown viability in broad scenarios like visual question answering, visual grounding, and optical character...

Meet EscherNet: A Multi-View Conditioned Diffusion Model for View Synthesis

View synthesis, integral to computer vision and graphics, enables scene re-rendering from diverse perspectives akin to human vision. It aids in tasks like object...

Salesforce AI Researchers Propose BootPIG: A Novel Architecture that Allows a User to Provide Reference Images of an Object in Order to Guide the...

Personalized image generation is the process of generating images of certain personal objects in different user-specified contexts. For example, one may want to visualize...

This AI Paper from China Introduce InternLM-XComposer2: A Cutting-Edge Vision-Language Model Excelling in Free-Form Text-Image Composition and Comprehension

The advancement of AI has led to remarkable strides in understanding and generating content that bridges the gap between text and imagery. A particularly...

Meet MouSi: A Novel PolyVisual System that Closely Mirrors the Complex and Multi-Dimensional Nature of Biological Visual Processing

Current challenges faced by large vision-language models (VLMs) include limitations in the capabilities of individual visual components and issues arising from excessively long visual...

This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of...

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge...

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