collaborators

7 papers

cs.CV2026

A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models

Nuo Chen, Lulin Liu, Zihao Li +12

Generative world models hold immense promise as scalable simulators for autonomous systems, particularly for synthesizing rare but safety-critical multi-agent interactions, such as…

cs.CV2026

DarkVGGT: Seeing Through Darkness Using Thermal Geometry without Daylight Tax

Minseong Kweon, Wenyuan Zhao, Nuo Chen +6

Recent feed-forward 3D reconstruction methods have demonstrated strong performance and flexibility in efficient end-to-end scene geometry estimation from image streams. However, th…

cs.CV2026

4KLSDB: A Large-Scale Dataset for 4K Image Restoration and Generation

Zihao Zhu, Kuan-Ru Huang, Zhaoming Xu +6

High-resolution datasets are essential for advancing super-resolution (SR) and text-to-image (T2I) diffusion research. However, current publicly available datasets lack both the na…

cs.CV2026

Trust It or Not: Evidential Uncertainty for Feed-Forward 3D Reconstruction with Trust3R

Zihao Zhu, Wenyuan Zhao, Nuo Chen +2

Geometric foundation models hold promise for unconstrained dense geometry prediction from uncalibrated images. However, in current feed-forward designs, their predicted confidence…

cs.CV2026

Agent Banana: High-Fidelity Image Editing with Agentic Thinking and Tooling

Ruijie Ye, Jiayi Zhang, Zhuoxin Liu +10

We study instruction-based image editing under professional workflows and identify three persistent challenges: (i) editors often over-edit, modifying content beyond the user's int…

cs.CV2025

HeadsUp! High-Fidelity Portrait Image Super-Resolution

Renjie Li, Zihao Zhu, Xiaoyu Wang +1

Portrait pictures, which typically feature both human subjects and natural backgrounds, are one of the most prevalent forms of photography on social media. Existing image super-res…