Autoregressive image generation has been shaped by advances in sequential modeling, originally seen in natural language processing. This field focuses […]
Category: Computer Vision
National University of Singapore Researchers Introduce Dimple: A Discrete Diffusion Multimodal Language Model for Efficient and Controllable Text Generation
In recent months, there has been growing interest in applying diffusion models—originally designed for continuous data, such as images—to natural […]
This AI Paper Introduces MMaDA: A Unified Multimodal Diffusion Model for Textual Reasoning, Visual Understanding, and Image Generation
Diffusion models, known for their success in generating high-quality images, are now being explored as a foundation for handling diverse […]
Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large Language Models
Multi-modal large language models (MLLMs) have shown great progress as versatile AI assistants capable of handling diverse visual tasks. However, […]
This AI Paper Introduces GRIT: A Method for Teaching MLLMs to Reason with Images by Interleaving Text and Visual Grounding
The core idea of Multimodal Large Language Models (MLLMs) is to create models that can combine the richness of visual […]
Researchers Introduce MMLONGBENCH: A Comprehensive Benchmark for Long-Context Vision-Language Models
Recent advances in long-context (LC) modeling have unlocked new capabilities for LLMs and large vision-language models (LVLMs). Long-context vision–language models […]
Google Researchers Introduce LightLab: A Diffusion-Based AI Method for Physically Plausible, Fine-Grained Light Control in Single Images
Manipulating lighting conditions in images post-capture is challenging. Traditional approaches rely on 3D graphics methods that reconstruct scene geometry and […]
Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built with CLIP Embeddings and Flow Matching for Image Understanding and Generation
Multimodal modeling focuses on building systems to understand and generate content across visual and textual formats. These models are designed […]
DanceGRPO: A Unified Framework for Reinforcement Learning in Visual Generation Across Multiple Paradigms and Tasks
Recent advances in generative models, especially diffusion models and rectified flows, have revolutionized visual content creation with enhanced output quality […]
ByteDance Introduces Seed1.5-VL: A Vision-Language Foundation Model Designed to Advance General-Purpose Multimodal Understanding and Reasoning
VLMs have become central to building general-purpose AI systems capable of understanding and interacting in digital and real-world settings. By […]