Teaching an Agent to Sketch One Part at a Time

1. 1Train a multi-modal language model-based agent using supervised fine-tuning
2. 2Implement a multi-turn process-reward reinforcement learning approach
3. 3Utilize a novel dataset with part-level annotations for sketches, such as ControlSketch-Part
4. 4Apply a generic automatic annotation pipeline to segment vector sketches into semantic parts

This research benefits AI engineers and ML researchers working on computer vision and generative models, as it provides a novel approach to sketch generation

💡 A multi-modal language model-based agent can be trained to produce vector sketches one part at a time using a novel multi-turn reinforcement learning approach

💡 Agents can now sketch one part at a time using multi-modal language models!