Reading up on computer-vision
5 deep · digging since nov 27, 25
- [2606.26907] Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
The paper proposes Qwen-Image-Agent, a unified agentic framework that uses planning, reasoning, search, memory, and feedback to bridge the context gap in real-world text-to-image generation.
- GitHub - baidu/Unlimited-OCR: Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
Baidu releases Unlimited-OCR, a VLM-based OCR that processes entire documents in a single pass using reference sliding window attention to avoid memory overflow.
- [2604.27505] Leveraging Verifier-Based Reinforcement Learning in Image Editing
Edit-R1 uses a chain-of-thought reasoning reward model, trained with Group Contrastive Preference Optimization, to provide fine-grained, interpretable rewards that improve image-editing model performance.
- Exclusive | How AI Changed This Olympic Snowboarder’s Signature Trick - WSJ
An AI tool from Google DeepMind, tested by U.S. Ski and Snowboard athletes, revealed flaws in Olympic snowboarder Maddie Mastro's crippler trick.
- Thread by @CMS_Flash on Thread Reader App – Thread Reader App
A thread breaks down the difficulty of building an AI that can recognize computer interfaces from raw video and reason with them without APIs.