most citedFrequency-Domain Refinement with Multiscale Diffusion for Super Resolution

1 citations · 1 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

ChronoCulture: Evaluating Cultural Awareness Across Time in Large Language Models

Rusali Saha, Nitya Khurana, Ruihong Huang +1

Cultural attitudes and social norms evolve over time, yet most cultural benchmarks for large language models (LLMs) treat culture as a static attribute of a country or region. We i…

cs.CV2026

From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation

Xingjian Wang, Zhao Wang, Taihang Hu +17

Large-scale image generation has benefited from advances in data scale, quality, rebalancing, and recaptioning, yet conventional pipelines typically optimize task-specific datasets…

cs.CV2026

Exploring the Performance Frontier of Compact Unified Image Generation Models

Taihang Hu, Zhao Wang, Zuan Gao +20

We present Swift-Image, a compact unified model for text-to-image generation, single-image editing, and multi-image editing. Our goal is to explore how far a relatively small visua…

cs.CV2026

CPI-Bench: A Comprehensive, Practical and Intelligent Benchmark for Real-World Image Editing

Qinye Zhou, Jun Zheng, Yongchao Du +17

With the rapid advancement of image editing models and their widespread application across various domains, there is an increasingly urgent need to deploy these model capabilities…

cs.CV2026

Tstars-Tryon 1.0: Robust and Realistic Virtual Try-On for Diverse Fashion Items

Mengting Chen, Zhengrui Chen, Yongchao Du +16

Recent advances in image generation and editing have opened new opportunities for virtual try-on. However, existing methods still struggle to meet complex real-world demands. We pr…

cs.CV2026

From Physical Degradation Models to Task-Aware All-in-One Image Restoration

Hu Gao, Xiaoning Lei, Xichen Xu +2

All-in-one image restoration aims to adaptively handle multiple restoration tasks with a single trained model. Although existing methods achieve promising results by introducing pr…

cs.CV2024

Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild

Xingjian Wang, Li Chai

In-the-wild dynamic facial expression recognition (DFER) encounters a significant challenge in recognizing emotion-related expressions, which are often temporally and spatially dil…

cs.CV2024★ 1 cited

Frequency-Domain Refinement with Multiscale Diffusion for Super Resolution

Xingjian Wang, Li Chai, Jiming Chen

The performance of single image super-resolution depends heavily on how to generate and complement high-frequency details to low-resolution images. Recently, diffusion-based DDPM m…