activity
20232026
most citedLightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models

3 citations · 5 across the 18 of their papers we have counts for

collaborators

23 papers

cs.RO2026

FutureRTC: Real-Time Robot Execution with Anticipatory-Conditioned Action Chunking

Hai Jiang, Yixian Zou, Binbin Liang +3

Real-time deployment of Vision-Language-Action (VLA) policies necessitates asynchronous execution, wherein subsequent action chunks are computed concurrently with the execution of…

cs.CV2026

From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation

Baixuan Zhao, Xinyu Zhang, Huayu Zheng +4

While controllable image generation has made significant strides by incorporating visual reference conditions, existing methods predominantly operate as open-loop systems. They inj…

cs.RO2026

Efficient Hybrid SE(3)-Equivariant Visuomotor Flow Policy via Spherical Harmonics for Robot Manipulation

Qinglun Zhang, Shen Cheng, Tian Dan +3

While existing equivariant methods enhance data efficiency, they suffer from high computational intensity, reliance on single-modality inputs, and instability when combined with fa…

cs.CV2026

PiCo: Active Manifold Canonicalization for Robust Robotic Visual Anomaly Detection

Teng Yan, Binkai Liu, Shuai Liu +2

Industrial deployment of robotic visual anomaly detection (VAD) is fundamentally constrained by passive perception under diverse 6-DoF pose configurations and unstable operating co…

cs.CV2026

LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency

Weilong Yan, Haipeng Li, Hao Xu +4

This paper introduces LaS-Comp, a zero-shot and category-agnostic approach that leverages the rich geometric priors of 3D foundation models to enable 3D shape completion across div…

cs.CV2026

Ada3Drift: Adaptive Training-Time Drifting for One-Step 3D Visuomotor Robotic Manipulation

Chongyang Xu, Yixian Zou, Ziliang Feng +2

Diffusion-based visuomotor policies effectively capture multimodal action distributions through iterative denoising, but their high inference latency limits real-time robotic contr…