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…
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…
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…