100 citations · 113 across the 20 of their papers we have counts for
20 papers
ControlLight: Towards Controllable, Consistent, and Generalizable Low-Light Enhancement
Yufeng Yang, Jianzhuang Liu, Jisheng Chu +4
Existing deep learning-based low-light enhancement methods are typically trained on limited datasets with single enhancement targets, which restricts their generalization ability a…
MagicFight: Personalized Martial Arts Combat Video Generation
Jiancheng Huang, Mingfu Yan, Songyan Chen +2
Amid the surge in generic text-to-video generation, the field of personalized human video generation has witnessed notable advancements, primarily concentrated on single-person sce…
STAR: STacked AutoRegressive Scheme for Unified Multimodal Learning
Jie Qin, Jiancheng Huang, Limeng Qiao +1
Multimodal large language models (MLLMs) play a pivotal role in advancing the quest for general artificial intelligence. However, achieving unified target for multimodal understand…
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu +102
This paper presents a comprehensive review of the NTIRE 2025 Low-Light Image Enhancement (LLIE) Challenge, highlighting the proposed solutions and final outcomes. The objective of…
Component Adaptive Clustering for Generalized Category Discovery
Mingfu Yan, Jiancheng Huang, Yifan Liu +1
Generalized Category Discovery (GCD) tackles the challenging problem of categorizing unlabeled images into both known and novel classes within a partially labeled dataset, without…
Contrast-Prior Enhanced Duality for Mask-Free Shadow Removal
Jiyu Wu, Yifan Liu, Jiancheng Huang +2
Existing shadow removal methods often rely on shadow masks, which are challenging to acquire in real-world scenarios. Exploring intrinsic image cues, such as local contrast informa…
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results
Xiaohong Liu, Xiongkuo Min, Qiang Hu +92
This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Lei Sun +143
This paper presents a comprehensive review of the NTIRE 2025 Challenge on Single-Image Efficient Super-Resolution (ESR). The challenge aimed to advance the development of deep mode…
Leveraging Contrast Information for Efficient Document Shadow Removal
Yifan Liu, Jiancheng Huang, Na Liu +3
Document shadows are a major obstacle in the digitization process. Due to the dense information in text and patterns covered by shadows, document shadow removal requires specialize…
Dual-Schedule Inversion: Training- and Tuning-Free Inversion for Real Image Editing
Jiancheng Huang, Yi Huang, Jianzhuang Liu +3
Text-conditional image editing is a practical AIGC task that has recently emerged with great commercial and academic value. For real image editing, most diffusion model-based metho…
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Jing Qiu, Jiancheng Huang, Xiangdong Zhang +4
Physics-informed deep learning has been developed as a novel paradigm for learning physical dynamics recently. While general physics-informed deep learning methods have shown early…
Matten: Video Generation with Mamba-Attention
Yu Gao, Jiancheng Huang, Xiaopeng Sun +3
In this paper, we introduce Matten, a cutting-edge latent diffusion model with Mamba-Attention architecture for video generation. With minimal computational cost, Matten employs sp…
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Ao Li +109
This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting the proposed solutions and results. The aim of this challenge is to discover an effective netw…
Diffusion Model-Based Image Editing: A Survey
Yi Huang, Jiancheng Huang, Yifan Liu +7
Denoising diffusion models have emerged as a powerful tool for various image generation and editing tasks, facilitating the synthesis of visual content in an unconditional or input…
GPT4Motion: Scripting Physical Motions in Text-to-Video Generation via Blender-Oriented GPT Planning
Jiaxi Lv, Yi Huang, Mingfu Yan +6
Recent advances in text-to-video generation have harnessed the power of diffusion models to create visually compelling content conditioned on text prompts. However, they usually en…
Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation
Mingfu Yan, Jiancheng Huang, Shifeng Chen
Seal-related tasks in document processing-such as seal segmentation, authenticity verification, seal removal, and text recognition under seals-hold substantial commercial importanc…
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images
Jiancheng Huang, Donghao Zhou, Shifeng Chen
Single-shot face anti-spoofing (FAS) is a key technique for securing face recognition systems, and it requires only static images as input. However, single-shot FAS remains a chall…
KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing
Jiancheng Huang, Yifan Liu, Jin Qin +1
Text-conditioned image editing is a recently emerged and highly practical task, and its potential is immeasurable. However, most of the concurrent methods are unable to perform act…
Graph Edit Distance Learning via Different Attention
Jiaxi Lv, Liang Zhang, Yi Huang +2
Recently, more and more research has focused on using Graph Neural Networks (GNN) to solve the Graph Similarity Computation problem (GSC), i.e., computing the Graph Edit Distance (…
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
Yi Huang, Jiancheng Huang, Jianzhuang Liu +5
Latest diffusion-based methods for many image restoration tasks outperform traditional models, but they encounter the long-time inference problem. To tackle it, this paper proposes…