activity
20232026
most citedImproving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Exploring Spatial Intelligence from a Generative Perspective

Muzhi Zhu, Shunyao Jiang, Huanyi Zheng +9

Spatial intelligence is essential for multimodal large language models, yet current benchmarks largely assess it only from an understanding perspective. We ask whether modern gener…

cs.CV2026

RealHD: A High-Quality Dataset for Robust Detection of State-of-the-Art AI-Generated Images

Hanzhe Yu, Yun Ye, Jintao Rong +2

The rapid advancement of generative AI has raised concerns about the authenticity of digital images, as highly realistic fake images can now be generated at low cost, potentially i…

cs.CV2025

When Distillation Breaks Motion Control: Restoring Generative Trajectories for Fast Video Generators

Jintao Rong, Xin Xie, Xinyi Yu +4

Training-free motion customization imposes motion patterns from reference videos onto video generators through test-time computation. Most existing methods target full diffusion mo…

cs.RO2024

GSORB-SLAM: Gaussian Splatting SLAM benefits from ORB features and Transmittance information

Wancai Zheng, Xinyi Yu, Jintao Rong +3

The emergence of 3D Gaussian Splatting (3DGS) has recently ignited a renewed wave of research in dense visual SLAM. However, existing approaches encounter challenges, including sen…

cs.CV20231 cited

Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints

Xinyi Yu, Liqin Lu, Jintao Rong +2

3D scene reconstruction from 2D images has been a long-standing task. Instead of estimating per-frame depth maps and fusing them in 3D, recent research leverages the neural implici…