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cs.CV2026
AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation
Eric Ji, Qiran Hu, Wufei Ma +4
Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism.…
cs.CV2024
GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations
Renan A. Rojas-Gomez, Minh N. Do
State-of-the-art Style Transfer methods often leverage pre-trained encoders optimized for discriminative tasks, which may not be ideal for image synthesis. This can result in signi…
cs.CV2024
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
Abhi Kamboj, Anh Duy Nguyen, Minh N. Do
In order to unlock the potential of diverse sensors, we investigate a method to transfer knowledge between time-series modalities using a multimodal \textit{temporal} representatio…