✨Sharp Monocular View Synthesis in Less Than a Second

📝 Summary:
SHARP synthesizes photorealistic 3D views from a single image using a 3D Gaussian representation. It achieves state-of-the-art quality with rapid processing, taking less than a second, and supports metric camera movements.

🔹 Publication Date: Published on Dec 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.10685
• PDF: https://arxiv.org/pdf/2512.10685
• Project Page: https://apple.github.io/ml-sharp/
• Github: https://github.com/apple/ml-sharp

🔹 Models citing this paper:
• https://huggingface.co/apple/Sharp

✨ Spaces citing this paper:
• https://huggingface.co/spaces/ronedgecomb/ml-sharp

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#ViewSynthesis #3DVision #ComputerVision #RealtimeAI #GaussianSplats

✨3DTV: A Feedforward Interpolation Network for Real-Time View Synthesis

📝 Summary:
3DTV is a feedforward network combining lightweight geometry and learning for real-time, robust sparse-view interpolation. It generates novel views efficiently without scene-specific optimization, making it practical for interactive applications.

🔹 Publication Date: Published on Apr 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2604.11211
• PDF: https://arxiv.org/pdf/2604.11211
• Project Page: https://stefanmschulz.github.io/3DTV_webpage/
• Github: https://github.com/StefanMSchulz/3DTV

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For more data science resources:
✓ https://xn--r1a.website/DataScienceT

#ViewSynthesis #DeepLearning #ComputerVision #NeuralNetworks #RealTimeAI