✨Efficiently Reconstructing Dynamic Scenes One D4RT at a Time

📝 Summary:
D4RT is a transformer-based model that efficiently reconstructs 4D scenes from videos. It uses a novel querying mechanism to infer depth and motion by flexibly probing 3D space-time points, outperforming previous methods.

🔹 Publication Date: Published on Dec 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08924
• PDF: https://arxiv.org/pdf/2512.08924

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#4DReconstruction #ComputerVision #Transformers #DynamicScenes #DeepLearning

✨TED-4DGS: Temporally Activated and Embedding-based Deformation for 4DGS Compression

📝 Summary:
TED-4DGS efficiently compresses dynamic 3D scenes using sparse anchor-based 3D Gaussian Splatting with novel temporal activation and embedding-based deformation. It optimizes rate-distortion with an implicit neural representation hyperprior and autoregressive model, achieving state-of-the-art com...

🔹 Publication Date: Published on Dec 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05446
• PDF: https://arxiv.org/pdf/2512.05446

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#4DGS #3DCompression #NeuralRendering #ComputerVision #DynamicScenes

✨SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time

📝 Summary:
SpaceTimePilot is a video diffusion model for dynamic scene rendering, offering independent control over spatial viewpoint and temporal motion. It achieves precise space-time disentanglement via a time-embedding, temporal-warping training, and a synthetic dataset.

🔹 Publication Date: Published on Dec 31, 2025

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.25075
• PDF: https://arxiv.org/pdf/2512.25075
• Project Page: https://zheninghuang.github.io/Space-Time-Pilot/

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#VideoDiffusion #GenerativeAI #DynamicScenes #ComputerGraphics #DeepLearning

✨AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction

📝 Summary:
AdaGaR reconstructs dynamic 3D scenes from monocular video. It introduces an Adaptive Gabor Representation for detail and stability, and Cubic Hermite Splines for temporal continuity. This method achieves state-of-the-art performance.

🔹 Publication Date: Published on Jan 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.00796
• PDF: https://arxiv.org/pdf/2601.00796
• Project Page: https://jiewenchan.github.io/AdaGaR/

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#3DReconstruction #ComputerVision #DynamicScenes #MonocularVideo #GaborRepresentation