activity
20222026
most citedAttention for Causal Relationship Discovery from Biological Neural Dynamics

3 citations · 3 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

AstraSR: Real-World Thermal Super-Resolution with GPT-6 Astra

Mengyuan Li, Changhong Fu, Jun Zhang +3

Real-world thermal super-resolution (SR) is constrained by limited sensor resolution and the difficulty of obtaining corresponding high-resolution (HR) observations for direct mode…

cs.CV2026

RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias

Yihe Sun, Ziyu Lu, Kaihua Tang +1

Reconstructing editable Computer-Aided Design (CAD) models from images is essential for downstream modification, manufacturing, and design reuse. However, existing image-to-CAD met…

cs.CV2026

FAST-GS: Frequency Aware Space-time Gaussian Splatting for Photorealistic Dynamic Novel View Synthesis

Zhengyang Zhang, Ziyu Lu, PengCheng Li +6

4D Gaussian Splatting (4DGS) excels in dynamic 3D reconstruction and real-time novel view synthesis via efficient 4D Gaussian representations and parallelizable rendering. However,…

cs.CV2026

CanvasAgent: Enabling Complex Image Creation and Editing via Visual Tool Orchestration

Hairui Zhu, Yiying Yang, Tengjin Weng +5

Complex image creation and editing often require more than a single generation or editing model. A user request may involve synthesizing images, localizing objects, segmenting regi…

cs.CV2025

GEN3D: Generating Domain-Free 3D Scenes from a Single Image

Yuxin Zhang, Ziyu Lu, Hongbo Duan +5

Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-view captures restricts their broader applicability. Additionally, 3D scene generation is vit…

cs.CV2025

AnyTSR: Any-Scale Thermal Super-Resolution for UAV

Mengyuan Li, Changhong Fu, Ziyu Lu +3

Thermal imaging can greatly enhance the application of intelligent unmanned aerial vehicles (UAV) in challenging environments. However, the inherent low resolution of thermal senso…