most citedSkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

7 citations · 7 across the 6 of their papers we have counts for

collaborators

5 papers

cs.CV2024

LokiTalk: Learning Fine-Grained and Generalizable Correspondences to Enhance NeRF-based Talking Head Synthesis

Tianqi Li, Ruobing Zheng, Bonan Li +4

Despite significant progress in talking head synthesis since the introduction of Neural Radiance Fields (NeRF), visual artifacts and high training costs persist as major obstacles…

cs.GR2024

GraphicsDreamer: Image to 3D Generation with Physical Consistency

Pei Chen, Fudong Wang, Yixuan Tong +3

Recently, the surge of efficient and automated 3D AI-generated content (AIGC) methods has increasingly illuminated the path of transforming human imagination into complex 3D struct…

cs.CV2024

POA: Pre-training Once for Models of All Sizes

Yingying Zhang, Xin Guo, Jiangwei Lao +7

Large-scale self-supervised pre-training has paved the way for one foundation model to handle many different vision tasks. Most pre-training methodologies train a single model of a…

cs.CV2024

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis

Zicheng Zhang, Ruobing Zheng, Ziwen Liu +7

Recent works in implicit representations, such as Neural Radiance Fields (NeRF), have advanced the generation of realistic and animatable head avatars from video sequences. These i…

cs.CV2023★ 7 cited

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery

Xin Guo, Jiangwei Lao, Bo Dang +13

Prior studies on Remote Sensing Foundation Model (RSFM) reveal immense potential towards a generic model for Earth Observation. Nevertheless, these works primarily focus on a singl…