Kavli Affiliate: Zheng Zhu | First 5 Authors: Mengxuan Wu, Zekai Li, Zhiyuan Liang, Moyang Li, Xuanlei Zhao | Summary: Mamba-based vision models have gained extensive attention as a result of being computationally more efficient than attention-based models. However, spatial redundancy still exists in these models, represented by token and block redundancy. For token redundancy, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Rui Lou, Yumeng Zhang, Erjian Cheng, Xiaolong Feng, Alexander Fedorov | Summary: The origin of the charge order in kagome lattice materials has attracted great interest due to the unique electronic structure features connected to kagome networks and the interplay between electron and lattice degrees of freedom. […]
Kavli Affiliate: Leon Balents | First 5 Authors: Jia-Xin Zhang, Wen O. Wang, Leon Balents, Lucile Savary, | Summary: The absence of a well-defined Fermi surface in flat-band systems challenges the conventional understanding of instabilities toward Landau order based on nesting. We investigate the existence of an intrinsic nesting structure encoded in the band geometry […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra | Summary: We explore how body shapes influence human motion synthesis, an aspect often overlooked in existing text-to-motion generation methods due to the ease of learning a homogenized, canonical body shape. However, this homogenization can distort […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Boyuan Wang, Runqi Ouyang, Xiaofeng Wang, Zheng Zhu, Guosheng Zhao | Summary: Single-image human reconstruction is vital for digital human modeling applications but remains an extremely challenging task. Current approaches rely on generative models to synthesize multi-view images for subsequent 3D reconstruction and animation. However, directly generating […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Weijie Wang, Haoyun Li | Summary: Interactive 3D generation is gaining momentum and capturing extensive attention for its potential to create immersive virtual experiences. However, a critical challenge in current 3D generation technologies lies in achieving real-time interactivity. To address this […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Boyuan Wang, Xiaofeng Wang, Chaojun Ni, Guosheng Zhao, Zhiqin Yang | Summary: Human-motion video generation has been a challenging task, primarily due to the difficulty inherent in learning human body movements. While some approaches have attempted to drive human-centric video generation explicitly through pose control, these methods […]
Kavli Affiliate: Biao Huang | First 5 Authors: Shanze Wang, Mingao Tan, Zhibo Yang, Biao Huang, Xiaoyu Shen | Summary: Deep Reinforcement Learning (DRL) based navigation methods have demonstrated promising results for mobile robots, but suffer from limited action flexibility in confined spaces. Conventional DRL approaches predominantly learn forward-motion policies, causing robots to become trapped […]
Kavli Affiliate: Yi Zhou | First 5 Authors: , , , , | Summary: In the field of sketch generation, raster-format trained models often produce non-stroke artifacts, while vector-format trained models typically lack a holistic understanding of sketches, leading to compromised recognizability. Moreover, existing methods struggle to extract common features from similar elements (e.g., eyes […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Jin Zhou, Yi Zhou, Pengfei Xu, Hui Huang, | Summary: In the field of sketch generation, raster-format trained models often produce non-stroke artifacts, while vector-format trained models typically lack a holistic understanding of sketches, leading to compromised recognizability. Moreover, existing methods struggle to extract common features from […]