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20232026
most citedExploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

9 citations · 30 across the 23 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024★ 1 cited

DynamicControl: Adaptive Condition Selection for Improved Text-to-Image Generation

Qingdong He, Jinlong Peng, Pengcheng Xu +8

To enhance the controllability of text-to-image diffusion models, current ControlNet-like models have explored various control signals to dictate image attributes. However, existin…

cs.CV2024

MIMAFace: Face Animation via Motion-Identity Modulated Appearance Feature Learning

Yue Han, Junwei Zhu, Yuxiang Feng +5

Current diffusion-based face animation methods generally adopt a ReferenceNet (a copy of U-Net) and a large amount of curated self-acquired data to learn appearance features, as ro…

cs.HC2024★ 1 cited

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion

Chencan Fu, Yabiao Wang, Jiangning Zhang +7

Co-speech gesture generation is crucial for producing synchronized and realistic human gestures that accompany speech, enhancing the animation of lifelike avatars in virtual enviro…

cs.CV2024★ 1 cited

TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation

Yabiao Wang, Shuo Wang, Jiangning Zhang +4

Human-human motion generation is essential for understanding humans as social beings. Current methods fall into two main categories: single-person-based methods and separate modeli…

cs.CV2024

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description

Yizhang Jin, Jian Li, Jiangning Zhang +7

Visual Spatial Description (VSD) aims to generate texts that describe the spatial relationships between objects within images. Traditional visual spatial relationship classificatio…

cs.CV2024★ 1 cited

A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection

Jiangning Zhang, Haoyang He, Zhenye Gan +7

Visual anomaly detection aims to identify anomalous regions in images through unsupervised learning paradigms, with increasing application demand and value in fields such as indust…

cs.CV2024

Open-Vocabulary SAM3D: Towards Training-free Open-Vocabulary 3D Scene Understanding

Hanchen Tai, Qingdong He, Jiangning Zhang +6

Open-vocabulary 3D scene understanding presents a significant challenge in the field. Recent works have sought to transfer knowledge embedded in vision-language models from 2D to 3…

cs.CV2024★ 1 cited

Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control

Yue Han, Junwei Zhu, Keke He +7

Current face reenactment and swapping methods mainly rely on GAN frameworks, but recent focus has shifted to pre-trained diffusion models for their superior generation capabilities…

cs.CV2024

Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark

Jiangning Zhang, Chengjie Wang, Xiangtai Li +5

Anomaly detection (AD) is often focused on detecting anomaly areas for industrial quality inspection and medical lesion examination. However, due to the specific scenario targets,…