PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Rama Chellappa, , , | Summary: We present Progressively Deblurring Radiance Field (PDRF), a novel approach to efficiently reconstruct high quality radiance fields from blurry images. While current State-of-The-Art (SoTA) scene reconstruction methods achieve photo-realistic rendering results from clean source views, their performances suffer when […]


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REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa, | Summary: It is a long-standing challenge to reconstruct Cone Beam Computed Tomography (CBCT) of the lung under respiratory motion. This work takes a step further to address a challenging setting in reconstructing a multi-phase}4D lung image from […]


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Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

Kavli Affiliate: Lars Bildsten | First 5 Authors: Adam S. Jermyn, Evan B. Bauer, Josiah Schwab, R. Farmer, Warrick H. Ball | Summary: We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). The new auto_diff module implements automatic differentiation in MESA, an enabling capability that alleviates the need […]


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MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo | Summary: Self-supervised monocular depth estimation is an attractive solution that does not require hard-to-source depth labels for training. Convolutional neural networks (CNNs) have recently achieved great success in this task. However, their limited receptive field constrains […]


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Family of New Binary Transition Metal Nitrides Superconductors

Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: Superconductivity in transition metal nitrides (TMNs) has been investigated for a long time, such as zirconium nitride (ZrN) with a superconducting transition temperature Tc of 10 K. Recently, a phase diagram has been revealed in […]


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Family of binary transition metal pnictide superconductors

Kavli Affiliate: Bo Gu | First 5 Authors: Zheng-Wei Liao, Xin-Wei Yi, Jing-Yang You, Bo Gu, Gang Su | Summary: Superconductivity in transition metal nitrides (TMNs) has been investigated for a long time, such as zirconium nitride (ZrN) with a superconducting transition temperature Tc of 10 K. Recently, a phase diagram has been revealed in […]


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Duality theory for Clifford tensor powers

Kavli Affiliate: David Gross | First 5 Authors: Felipe Montealegre-Mora, David Gross, , , | Summary: The representation theory of the Clifford group is playing an increasingly prominent role in quantum information theory, including in such diverse use cases as the construction of protocols for quantum system certification, quantum simulation, and quantum cryptography. In these […]


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Duality theory for Clifford tensor powers

Kavli Affiliate: David Gross | First 5 Authors: Felipe Montealegre-Mora, David Gross, , , | Summary: The representation theory of the Clifford group is playing an increasingly prominent role in quantum information theory, including in such diverse use cases as the construction of protocols for quantum system certification, quantum simulation, and quantum cryptography. In these […]


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Random Quantum Circuits

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Matthew P. A. Fisher, Vedika Khemani, Adam Nahum, Sagar Vijay, | Summary: Quantum circuits — built from local unitary gates and local measurements — are a new playground for quantum many-body physics and a tractable setting to explore universal collective phenomena far-from-equilibrium. These models have […]


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A Repulsive Force Unit for Garment Collision Handling in Neural Networks

Kavli Affiliate: Yi Zhou | First 5 Authors: Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun | Summary: Despite recent success, deep learning-based methods for predicting 3D garment deformation under body motion suffer from interpenetration problems between the garment and the body. To address this problem, we propose a novel collision handling neural […]


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