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cs.CV2026
SceneFoundry: Generating Interactive Infinite 3D Worlds
ChunTeng Chen, YiChen Hsu, YiWen Liu +5
The ability to automatically generate large-scale, interactive, and physically realistic 3D environments is crucial for advancing robotic learning and embodied intelligence. Howeve…
cs.CV2025
Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data
Yiwen Liu, Jessica Bader, Jae Myung Kim
With the development of photorealistic diffusion models, models trained in part or fully on synthetic data achieve progressively better results. However, diffusion models still rou…
cs.CV2024
JPEG Inspired Deep Learning
Ahmed H. Salamah, Kaixiang Zheng, Yiwen Liu +1
Although it is traditionally believed that lossy image compression, such as JPEG compression, has a negative impact on the performance of deep neural networks (DNNs), it is shown b…