· ai
Computer Vision Services: Building Intelligent Visual Systems with Oodles
Images and videos contain massive amounts of data—but extracting meaningful insights from them requires advanced AI systems. Computer Vision Serviceshttps://www...
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‘College dropout’ has become the most coveted startup founder credential
AI founders are increasingly using their 'dropout' status as a credential during YC pitches....
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Open source Qwen-Image-2512 launches to compete with Google's Nano Banana Pro in high quality AI image generation
When Google released its newest AI image model Nano Banana Pro aka Gemini 3 Pro Image in November, it reset expectations for the entire field. For the first tim...
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[Paper] SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
We present SpaceTimePilot, a video diffusion model that disentangles space and time for controllable generative rendering. Given a monocular video, SpaceTimePil...
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[Paper] GaMO: Geometry-aware Multi-view Diffusion Outpainting for Sparse-View 3D Reconstruction
Recent advances in 3D reconstruction have achieved remarkable progress in high-quality scene capture from dense multi-view imagery, yet struggle when input view...
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[Paper] Coordinated Humanoid Manipulation with Choice Policies
Humanoid robots hold great promise for operating in human-centric environments, yet achieving robust whole-body coordination across the head, hands, and legs re...
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[Paper] Edit3r: Instant 3D Scene Editing from Sparse Unposed Images
We present Edit3r, a feed-forward framework that reconstructs and edits 3D scenes in a single pass from unposed, view-inconsistent, instruction-edited images. U...
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[Paper] Scaling Open-Ended Reasoning to Predict the Future
High-stakes decision making involves reasoning under uncertainty about the future. In this work, we train language models to make predictions on open-ended fore...
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[Paper] FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion
Recognizing fine-grained actions from temporally corrupted skeleton sequences remains a significant challenge, particularly in real-world scenarios where online...
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[Paper] From Inpainting to Editing: A Self-Bootstrapping Framework for Context-Rich Visual Dubbing
Audio-driven visual dubbing aims to synchronize a video's lip movements with new speech, but is fundamentally challenged by the lack of ideal training data: pai...
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[Paper] Vulcan: Instance-Optimal Systems Heuristics Through LLM-Driven Search
Resource-management tasks in modern operating and distributed systems continue to rely primarily on hand-designed heuristics for tasks such as scheduling, cachi...
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[Paper] Many Minds from One Model: Bayesian Transformers for Population Intelligence
Despite their scale and success, modern transformers are almost universally trained as single-minded systems: optimization produces one deterministic set of par...