5 papers
TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation
Xiangyu Xu, Qingsong Zhong, Jilin Hu
Generative modeling offers a promising solution to data scarcity and privacy challenges in time series analysis. However, the structural complexity of time series, characterized by…
EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI
Jianlei Chang, Ruofeng Mei, Wei Ke +1
Generative modeling has recently shown remarkable promise for visuomotor policy learning, enabling flexible and expressive control across diverse embodied AI tasks. However, existi…
Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting
Chengqi Li, Zhihao Shi, Yangdi Lu +2
3D reconstruction from in-the-wild images remains a challenging task due to inconsistent lighting conditions and transient distractors. Existing methods typically rely on heuristic…
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients
Meihan Wu, Tao Chang, Cui Miao +5
Federated learning research has recently shifted from Convolutional Neural Networks (CNNs) to Vision Transformers (ViTs) due to their superior capacity. ViTs training demands highe…
DiffFit: Disentangled Garment Warping and Texture Refinement for Virtual Try-On
Xiang Xu
Virtual try-on (VTON) aims to synthesize realistic images of a person wearing a target garment, with broad applications in e-commerce and digital fashion. While recent advances in…