2 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
DCL-SE: Dynamic Curriculum Learning for Spatiotemporal Encoding of Brain Imaging
Meihua Zhou, Xinyu Tong, Jiarui Zhao +4
High-dimensional neuroimaging analyses for clinical diagnosis are often constrained by compromises in spatiotemporal fidelity and by the limited adaptability of large-scale, genera…
CCL-LGS: Contrastive Codebook Learning for 3D Language Gaussian Splatting
Lei Tian, Xiaomin Li, Liqian Ma +6
Recent advances in 3D reconstruction techniques and vision-language models have fueled significant progress in 3D semantic understanding, a capability critical to robotics, autonom…
StarVid: Enhancing Semantic Alignment in Video Diffusion Models via Spatial and SynTactic Guided Attention Refocusing
Yuanhang Li, Qi Mao, Lan Chen +5
Recent advances in text-to-video (T2V) generation with diffusion models have garnered significant attention. However, they typically perform well in scenes with a single object and…
UniVG: Towards UNIfied-modal Video Generation
Ludan Ruan, Lei Tian, Chuanwei Huang +2
Diffusion based video generation has received extensive attention and achieved considerable success within both the academic and industrial communities. However, current efforts ar…
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models
Hanzhang Wang, Haoran Wang, Jinze Yang +7
The goal of Arbitrary Style Transfer (AST) is injecting the artistic features of a style reference into a given image/video. Existing methods usually focus on pursuing the balance…