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In the fast-paced world of artificial intelligence, a new model is making waves for its innovative approach and impressive performance: MOLMO (Multimodal Open Language Model), developed by the Allen Institute
PartCrafter is the first unified 3D generative model that jointly synthesizes multiple semantically meaningful and geometrically distinct 3D parts from a single RGB image without any segmentation required. Powered by
Hello, Let me show you an image, can you describe what you see? Perfect! You nailed it: a bird sitting peacefully on a railing. Now, let’s flip it. I’ll describe
SimLingo unifies autonomous driving, vision-language understanding, and action reasoning-all from camera input only. It introduces Action Dreaming to test how well models follow instructions, and outperforms all prior methods on
SAM4D introduces a 4D foundation model for promptable segmentation across camera and LiDAR streams, addressing the limitations of frame-centric and modality-isolated approaches in autonomous driving. Key Highlights: Paper Resources
You’ve just finished listening to your favorite high-energy workout song on Spotify, and the next track that automatically plays is one you’ve never heard, but it’s a perfect fit for
VideoGameBench is a rigorous benchmark that evaluates VLMs’ real-time decision-making, perception, memory, and planning by challenging them to complete 1990s-era video games with only raw visual inputs and minimal control
LeGO-LOAM introduces a cutting-edge lidar odometry and mapping framework designed to deliver real-time, accurate 6-DOF pose estimation for ground vehicles, optimized for challenging, variable terrain environments. It significantly reduces computational
Imagine machines that don’t just capture pixels but truly understand them, recognizing objects, reading text, interpreting scenes, and even “speaking” about images as fluently as a human. VLMs merge computer
Now you can enjoy this Article in the form of an audio! Imagine an expert sommelier. They don’t just identify a wine; they experience it through multiple senses. They see
Reliable-loc introduces a resilient LiDAR-based global localization system for wearable mapping devices in complex, GNSS-denied street environments with sparse features and incomplete prior maps. Key Highlights: Paper Resources Related articles
Ever heard of an AI cracking a coding bug that stumped a 30-year C++ FAANG veteran for four years and 200 hours of debugging? That just happened. The hero? Anthropic’s