6 citations · 17 across the 15 of their papers we have counts for
16 papers
Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution
Xiao He, Zhijun Tu, Kun Cheng +4
The demonstrated success of sparsely-gated Mixture-of-Experts (MoE) architectures, exemplified by models such as DeepSeek and Grok, has motivated researchers to investigate their a…
3D Test-time Adaptation via Graph Spectral Driven Point Shift
Xin Wei, Qin Yang, Yijie Fang +2
While test-time adaptation (TTA) methods effectively address domain shifts by dynamically adapting pre-trained models to target domain data during online inference, their applicati…
TeSG: Textual Semantic Guidance for Infrared and Visible Image Fusion
Mingrui Zhu, Xiru Chen, Xin Wei +2
Infrared and visible image fusion (IVF) aims to combine complementary information from both image modalities, producing more informative and comprehensive outputs. Recently, text-g…
Effective Diffusion Transformer Architecture for Image Super-Resolution
Kun Cheng, Lei Yu, Zhijun Tu +7
Recent advances indicate that diffusion models hold great promise in image super-resolution. While the latest methods are primarily based on latent diffusion models with convolutio…
One Step Diffusion-based Super-Resolution with Time-Aware Distillation
Xiao He, Huaao Tang, Zhijun Tu +8
Diffusion-based image super-resolution (SR) methods have shown promise in reconstructing high-resolution images with fine details from low-resolution counterparts. However, these a…
Foodfusion: A Novel Approach for Food Image Composition via Diffusion Models
Chaohua Shi, Xuan Wang, Si Shi +4
Food image composition requires the use of existing dish images and background images to synthesize a natural new image, while diffusion models have made significant advancements i…
InstructBrush: Learning Attention-based Instruction Optimization for Image Editing
Ruoyu Zhao, Qingnan Fan, Fei Kou +7
In recent years, instruction-based image editing methods have garnered significant attention in image editing. However, despite encompassing a wide range of editing priors, these m…
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors
Shiyin Dong, Mingrui Zhu, Kun Cheng +2
The remarkable prowess of diffusion models in image generation has spurred efforts to extend their application beyond generative tasks. However, a persistent challenge exists in la…
CatVersion: Concatenating Embeddings for Diffusion-Based Text-to-Image Personalization
Ruoyu Zhao, Mingrui Zhu, Shiyin Dong +2
We propose CatVersion, an inversion-based method that learns the personalized concept through a handful of examples. Subsequently, users can utilize text prompts to generate images…
Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification
Mingrui Zhu, Dongxin Chen, Xin Wei +2
In an era where personal photos are easily leaked and collected, face de-identification is a crucial method for protecting identity privacy. However, current face de-identification…
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval
Shiyin Dong, Mingrui Zhu, Nannan Wang +1
Zero-shot sketch-based image retrieval (ZS-SBIR) is challenging due to the cross-domain nature of sketches and photos, as well as the semantic gap between seen and unseen image dis…
Few-shot Face Image Translation via GAN Prior Distillation
Ruoyu Zhao, Mingrui Zhu, Xiaoyu Wang +1
Face image translation has made notable progress in recent years. However, when training on limited data, the performance of existing approaches significantly declines. Although so…
Few-shot Font Generation by Learning Style Difference and Similarity
Xiao He, Mingrui Zhu, Nannan Wang +2
Few-shot font generation (FFG) aims to preserve the underlying global structure of the original character while generating target fonts by referring to a few samples. It has been a…
All-to-key Attention for Arbitrary Style Transfer
Mingrui Zhu, Xiao He, Nannan Wang +2
Attention-based arbitrary style transfer studies have shown promising performance in synthesizing vivid local style details. They typically use the all-to-all attention mechanism -…
VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild
Kun Cheng, Xiaodong Cun, Yong Zhang +6
We present VideoReTalking, a new system to edit the faces of a real-world talking head video according to input audio, producing a high-quality and lip-syncing output video even wi…
Semi-parametric Makeup Transfer via Semantic-aware Correspondence
Mingrui Zhu, Yun Yi, Nannan Wang +2
The large discrepancy between the source non-makeup image and the reference makeup image is one of the key challenges in makeup transfer. Conventional approaches for makeup transfe…