Large Language Models (LLMs) are primarily designed for text-based tasks, limiting their ability to interpret and generate multimodal content such […]
Category: Computer Vision
Meta AI Introduces VideoJAM: A Novel AI Framework that Enhances Motion Coherence in AI-Generated Videos
Despite recent advancements, generative video models still struggle to represent motion realistically. Many existing models focus primarily on pixel-level reconstruction, […]
ByteDance Proposes OmniHuman-1: An End-to-End Multimodality Framework Generating Human Videos based on a Single Human Image and Motion Signals
Despite progress in AI-driven human animation, existing models often face limitations in motion realism, adaptability, and scalability. Many models struggle […]
Light3R-SfM: A Scalable and Efficient Feed-Forward Approach to Structure-from-Motion
Structure-from-motion (SfM) focuses on recovering camera positions and building 3D scenes from multiple images. This process is important for tasks […]
InternVideo2.5: Hierarchical Token Compression and Task Preference Optimization for Video MLLMs
Multimodal large language models (MLLMs) have emerged as a promising approach towards artificial general intelligence, integrating diverse sensing signals into […]
This AI Paper Introduces IXC-2.5-Reward: A Multi-Modal Reward Model for Enhanced LVLM Alignment and Performance
Artificial intelligence has grown significantly with the integration of vision and language, allowing systems to interpret and generate information across […]
Netflix Introduces Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
Generative modeling challenges in motion-controllable video generation present significant research hurdles. Current approaches in video generation struggle with precise motion […]
Alibaba Researchers Propose VideoLLaMA 3: An Advanced Multimodal Foundation Model for Image and Video Understanding
Advancements in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information […]
Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks
Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, […]
Create Portrait Mode Effect with Segment Anything Model 2 (SAM2)
Have you ever admired how smartphone cameras isolate the main subject from the background, adding a subtle blur to the […]