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Zixu Lin

5 accepted papers

2026

JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization

CVPR 2026

Agent-based editing models have substantially advanced interactive experiences, processing quality, and creative flexibility. However, two critical challenges persist: (1) instruction hallucination--text-only chain-of-thought (CoT) reasoning cannot fully prevent factual errors due to inherent inform

Cited by 0SourcecodeScholar
2025

JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent

NeurIPS 2025poster

Photo retouching has become integral to contemporary visual storytelling, enabling users to capture aesthetics and express creativity. While professional tools such as Adobe Lightroom offer powerful capabilities, they demand substantial expertise and manual effort. In contrast, existing AI-based sol…

Cited by 0SourceScholar
2025

JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

CVPR 2025poster

Vision-centric perception systems often struggle with unpredictable and coupled weather degradations in the wild. Current solutions are often limited, as they either depend on specific degradation priors or suffer from significant domain gaps. To enable robust and autonomous operation in real-world…

Cited by 2SourcePDFScholar
2025

Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables

NeurIPS 2025oral

Recently, deep learning-based pan-sharpening algorithms have achieved notable advancements over traditional methods. However, deep learning-based methods incur substantial computational overhead during inference, especially with large images. This excessive computational demand limits the applicabil…

Cited by 0SourceScholar
2025

Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline

CVPR 2025poster

Video anomaly detection (VAD) is crucial in scenarios such as surveillance and autonomous driving, where timely detection of unexpected activities is essential. Albeit existing methods have primarily focused on detecting anomalous objects in videos--either by identifying anomalous frames or objects-…

Cited by 0SourcePDFScholar