activity
20232026
most citedCoSeR: Bridging Image and Language for Cognitive Super-Resolution

3 citations · 3 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

UltraDiff: Transferring High-Fidelity Priors to Compressed Latent Spaces for High-Resolution Image Generation

Jingjing Ren, Haitian Zheng, Haoyu Chen +5

High-resolution synthesis with Latent Diffusion Models (LDMs) faces a fundamental trade-off between computational cost and generative fidelity. This trade off is largely governed b…

cs.CV2026

How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation

Haoyu Chen, Qing Liu, Yuqian Zhou +7

Unified multimodal models hold the promise of generating extensive, interleaved narratives, weaving text and imagery into coherent long-form stories. However, current systems suffe…

cs.CV2025

PocketSR: The Super-Resolution Expert in Your Pocket Mobiles

Haoze Sun, Linfeng Jiang, Fan Li +9

Real-world image super-resolution (RealSR) aims to enhance the visual quality of in-the-wild images, such as those captured by mobile phones. While existing methods leveraging larg…

cs.CV2025

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

Yunlong Lin, Zixu Lin, Kunjie Lin +8

Photo retouching has become integral to contemporary visual storytelling, enabling users to capture aesthetics and express creativity. While professional tools such as Adobe Lightr…

cs.CV2025

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis

Jingjing Ren, Wenbo Li, Zhongdao Wang +9

Demand for 2K video synthesis is rising with increasing consumer expectations for ultra-clear visuals. While diffusion transformers (DiTs) have demonstrated remarkable capabilities…

cs.CV2025

JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

Yunlong Lin, Zixu Lin, Haoyu Chen +6

Vision-centric perception systems struggle with unpredictable and coupled weather degradations in the wild. Current solutions are often limited, as they either depend on specific d…

cs.GR2025

POSTA: A Go-to Framework for Customized Artistic Poster Generation

Haoyu Chen, Xiaojie Xu, Wenbo Li +6

Poster design is a critical medium for visual communication. Prior work has explored automatic poster design using deep learning techniques, but these approaches lack text accuracy…

cs.CV2024

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

Haoyu Chen, Wenbo Li, Jinjin Gu +7

Natural images captured by mobile devices often suffer from multiple types of degradation, such as noise, blur, and low light. Traditional image restoration methods require manual…

cs.CV2024

UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks

Jingjing Ren, Wenbo Li, Haoyu Chen +6

Ultra-high-resolution image generation poses great challenges, such as increased semantic planning complexity and detail synthesis difficulties, alongside substantial training reso…

eess.IV2024

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Haoyu Chen, Wenbo Li, Jinjin Gu +6

For image super-resolution (SR), bridging the gap between the performance on synthetic datasets and real-world degradation scenarios remains a challenge. This work introduces a nov…

cs.CV2023★ 3 cited

CoSeR: Bridging Image and Language for Cognitive Super-Resolution

Haoze Sun, Wenbo Li, Jianzhuang Liu +5

Existing super-resolution (SR) models primarily focus on restoring local texture details, often neglecting the global semantic information within the scene. This oversight can lead…