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cs.CV2025

BlockGaussian: Efficient Large-Scale Scene Novel View Synthesis via Adaptive Block-Based Gaussian Splatting

Yongchang Wu, Zipeng Qi, Zhenwei Shi +1

The recent advancements in 3D Gaussian Splatting (3DGS) have demonstrated remarkable potential in novel view synthesis tasks. The divide-and-conquer paradigm has enabled large-scal…

cs.CV2024

Efficient Semantic Splatting for Remote Sensing Multi-view Segmentation

Zipeng Qi, Hao Chen, Haotian Zhang +2

In this paper, we propose a novel semantic splatting approach based on Gaussian Splatting to achieve efficient and low-latency. Our method projects the RGB attributes and semantic…

cs.CV2024

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

Zipeng Qi, Guoxi Huang, Chenyang Liu +1

This paper introduces innovative solutions to enhance spatial controllability in diffusion models reliant on text queries. We first introduce vision guidance as a foundational spat…

cs.CV2024

Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

Chenyang Liu, Keyan Chen, Haotian Zhang +3

Monitoring changes in the Earth's surface is crucial for understanding natural processes and human impacts, necessitating precise and comprehensive interpretation methodologies. Re…

cs.CV2024

Multi-view Remote Sensing Image Segmentation With SAM priors

Zipeng Qi, Chenyang Liu, Zili Liu +4

Multi-view segmentation in Remote Sensing (RS) seeks to segment images from diverse perspectives within a scene. Recent methods leverage 3D information extracted from an Implicit N…

cs.CV2024

Pixel-Level Change Detection Pseudo-Label Learning for Remote Sensing Change Captioning

Chenyang Liu, Keyan Chen, Zipeng Qi +3

The existing methods for Remote Sensing Image Change Captioning (RSICC) perform well in simple scenes but exhibit poorer performance in complex scenes. This limitation is primarily…