"QRF Dataset"

"The QRF dataset is designed to support research in quantum-native photorealistic scene rendering. It consists of high-fidelity 3D indoor and outdoor environments captured from multiple calibrated viewpoints, with detailed annotations of geometry, material properties, and lighting conditions. Each scene is processed into quantum-compatible representations for training and evaluating Quantum Radiance Fields (QRF), which leverage quantum circuits, activation functions, and quantum volume rendering.This dataset serves as a benchmark for evaluating the efficiency and realism of quantum implicit representations. It includes both low-frequency and high-frequency features to challenge classical rendering models and demonstrate the expressive power of quantum processing. The dataset facilitates experimentation in tasks such as view synthesis, radiance prediction, and ray-based integration under a quantum computing paradigm. By providing carefully curated and diverse scene data, the QRF dataset enables rigorous testing of quantum advantages in 3D vision and computational graphics."