100 citations · 110 across the 25 of their papers we have counts for
7 papers · 1 filter
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…
Bootstrap Diffusion Model Curve Estimation for High Resolution Low-Light Image Enhancement
Jiancheng Huang, Yifan Liu, Shifeng Chen
Learning-based methods have attracted a lot of research attention and led to significant improvements in low-light image enhancement. However, most of them still suffer from two ma…
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…