19 citations · 38 across the 56 of their papers we have counts for
15 papers · 1 filter
UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control
Wenzhang Sun, Xiang Li, Donglin Di +5
Recently, animating portrait images using audio input is a popular task. Creating lifelike talking head videos requires flexible and natural movements, including facial and head dy…
Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics
Mingcheng Qu, Yuncong Wu, Donglin Di +4
Spatial transcriptomics (ST) has emerged as an advanced technology that provides spatial context to gene expression. Recently, deep learning-based methods have shown the capability…
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects
Lei Fan, Dongdong Fan, Zhiguang Hu +5
We present MANTA, a visual-text anomaly detection dataset for tiny objects. The visual component comprises over 137.3K images across 38 object categories spanning five typical doma…
Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection
Lei Fan, Junjie Huang, Donglin Di +4
For anomaly detection (AD), early approaches often train separate models for individual classes, yielding high performance but posing challenges in scalability and resource managem…
TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt
Jiahui Yang, Donglin Di, Baorui Ma +8
In recent years, advancements in generative models have significantly expanded the capabilities of text-to-3D generation. Many approaches rely on Score Distillation Sampling (SDS)…
Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch
Donglin Di, Weinan Zhang, Yue Zhang +1
Making use of off-the-shelf resources of resource-rich languages to transfer knowledge for low-resource languages raises much attention recently. The requirements of enabling the m…
DH-FaceVid-1K: A Large-Scale High-Quality Dataset for Face Video Generation
Donglin Di, He Feng, Wenzhang Sun +6
Human-centric generative models are becoming increasingly popular, giving rise to various innovative tools and applications, such as talking face videos conditioned on text or audi…
TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation
Chaofan Luo, Donglin Di, Xun Yang +4
Despite significant strides in the field of 3D scene editing, current methods encounter substantial challenge, particularly in preserving 3D consistency in multi-view editing proce…
GRPose: Learning Graph Relations for Human Image Generation with Pose Priors
Xiangchen Yin, Donglin Di, Lei Fan +6
Recent methods using diffusion models have made significant progress in human image generation with various control signals such as pose priors. However, existing efforts are still…
Real Face Video Animation Platform
Xiaokai Chen, Xuan Liu, Donglin Di +3
In recent years, facial video generation models have gained popularity. However, these models often lack expressive power when dealing with exaggerated anime-style faces due to the…
One-Shot Pose-Driving Face Animation Platform
He Feng, Donglin Di, Yongjia Ma +2
The objective of face animation is to generate dynamic and expressive talking head videos from a single reference face, utilizing driving conditions derived from either video or au…
Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding
Minghui Wu, Chenxu Zhao, Anyang Su +8
Understanding of video creativity and content often varies among individuals, with differences in focal points and cognitive levels across different ages, experiences, and genders.…
ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection
Yun Liang, Zhiguang Hu, Junjie Huang +3
Current unsupervised anomaly detection approaches perform well on public datasets but struggle with specific anomaly types due to the domain gap between pre-trained feature extract…
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
Haoyu Wang, Zhilu Zhang, Donglin Di +2
The goal of image-based virtual try-on is to generate an image of the target person naturally wearing the given clothing. However, existing methods solely focus on the frontal try-…
Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph
Donglin Di, Jiahui Yang, Chaofan Luo +4
Text-to-3D generation represents an exciting field that has seen rapid advancements, facilitating the transformation of textual descriptions into detailed 3D models. However, curre…