activity
20232026
most citedMC: Multi-concept Guidance for Customized Multi-concept Generation

2 citations · 3 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

DK-VLM: Geometry as Position for Spatial Reasoning in Vision-Language Models

Han Su, Meng Tian, Tianyu Huang +7

Vision-language models still struggle to understand 3D spatial relations across views and update spatial judgments as the observer moves. A common approach fuses 3D reconstruction…

cs.CV2026

GS-RealBlur: A Flexible Data Acquisition Framework for Real-World Image Deblurring

Mingyang Chen, Zhilu Zhang, Honglei Xu +3

High-quality, large-scale paired data is essential for training learning-based image deblurring models. However, synthetic blurry images generally lack realism, while real-world ca…

cs.CV2026

Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation

Chonghuinan Wang, Zhikai Chen, Chunwei Wang +9

The advancement of generative AI models capable of producing text and image marks a critical step forward in the realm of multimodal intelligence, particularly for tasks involving…

cs.CV2026

CREval: An Automated Interpretable Evaluation for Creative Image Manipulation under Complex Instructions

Chonghuinan Wang, Zihan Chen, Yuxiang Wei +5

Instruction-based multimodal image manipulation has recently made rapid progress. However, existing evaluation methods lack a systematic and human-aligned framework for assessing m…

cs.CV2026

MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration

Lingshun Kong, Jiawei Zhang, Zhengpeng Duan +6

All-in-one image restoration is challenging because different degradation types, such as haze, blur, noise, and low-light, impose diverse requirements on restoration strategies, ma…