Refined Project Brief: AI VTON Specialist Role: Freelance AI/ML Engineer (VTON Specialist) Objective: Integrate a photorealistic, "Zero-Shot" Virtual Try-On pipeline into an existing Flutter/Python e-commerce stack. Technical Stack Requirements AI/ML: Experience with IDM-VTON, Cat-VTON, or OOTDiffusion. Mastery of Stable Diffusion (ControlNet/IP-Adapter) is mandatory. Computer Vision: Expertise in MediaPipe or OpenPose (pose estimation) and DensePose (surface mapping). Backend: Python (FastAPI/PyTorch), gRPC/REST, and CUDA optimization. Frontend Integration: Flutter (Dart) for image handling and state management. Key Deliverables The "Zero-Retrain" Pipeline: A model that accepts a flat garment image and a user photo to produce a drape-accurate result without per-SKU training. Latency Optimization: Implementation of TensorRT or AITemplate to bring inference time under 3 seconds on NVIDIA A10/L4 GPUs. The "Bulk Onramp": An automated preprocessing script (background removal + mask generation) for your new catalog items.