Saved in:
| Main Authors: | Wang, Chengjie, Zhu, Haokun, Peng, Jinlong, Wang, Yue, Yi, Ran, Wu, Yunsheng, Ma, Lizhuang, Zhang, Jiangning |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.02263 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
by: Zhu, Wenbing, et al.
Published: (2025)
by: Zhu, Wenbing, et al.
Published: (2025)
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
by: He, Qingdong, et al.
Published: (2024)
by: He, Qingdong, et al.
Published: (2024)
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era
by: Zhu, Wenbing, et al.
Published: (2025)
by: Zhu, Wenbing, et al.
Published: (2025)
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
by: Tu, Yuanpeng, et al.
Published: (2024)
by: Tu, Yuanpeng, et al.
Published: (2024)
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
by: Wang, Yue, et al.
Published: (2022)
by: Wang, Yue, et al.
Published: (2022)
ID-Sculpt: ID-aware 3D Head Generation from Single In-the-wild Portrait Image
by: Hao, Jinkun, et al.
Published: (2024)
by: Hao, Jinkun, et al.
Published: (2024)
MMoFusion: Multi-modal Co-Speech Motion Generation with Diffusion Model
by: Wang, Sen, et al.
Published: (2024)
by: Wang, Sen, et al.
Published: (2024)
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
by: Wang, Chengjie, et al.
Published: (2024)
by: Wang, Chengjie, et al.
Published: (2024)
Textual Decomposition Then Sub-motion-space Scattering for Open-Vocabulary Motion Generation
by: Fan, Ke, et al.
Published: (2024)
by: Fan, Ke, et al.
Published: (2024)
DMAD: Dual Memory Bank for Real-World Anomaly Detection
by: Hu, Jianlong, et al.
Published: (2024)
by: Hu, Jianlong, et al.
Published: (2024)
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
by: Hu, Teng, et al.
Published: (2023)
by: Hu, Teng, et al.
Published: (2023)
IAR2: Improving Autoregressive Visual Generation with Semantic-Detail Associated Token Prediction
by: Yi, Ran, et al.
Published: (2025)
by: Yi, Ran, et al.
Published: (2025)
SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation
by: Hu, Teng, et al.
Published: (2024)
by: Hu, Teng, et al.
Published: (2024)
Learning Multi-view Anomaly Detection with Efficient Adaptive Selection
by: He, Haoyang, et al.
Published: (2024)
by: He, Haoyang, et al.
Published: (2024)
Collaborative Face Experts Fusion in Video Generation: Boosting Identity Consistency Across Large Face Poses
by: Wang, Yuji, et al.
Published: (2025)
by: Wang, Yuji, et al.
Published: (2025)
Identity-Preserving Text-to-Video Generation Guided by Simple yet Effective Spatial-Temporal Decoupled Representations
by: Wang, Yuji, et al.
Published: (2025)
by: Wang, Yuji, et al.
Published: (2025)
Semantic Frame Interpolation
by: Hong, Yijia, et al.
Published: (2025)
by: Hong, Yijia, et al.
Published: (2025)
FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis
by: Fan, Ke, et al.
Published: (2024)
by: Fan, Ke, et al.
Published: (2024)
A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection
by: Lin, Yuxuan, et al.
Published: (2024)
by: Lin, Yuxuan, et al.
Published: (2024)
FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
by: Jiang, Boyuan, et al.
Published: (2024)
by: Jiang, Boyuan, et al.
Published: (2024)
InstanceV: Instance-Level Video Generation
by: Chen, Yuheng, et al.
Published: (2025)
by: Chen, Yuheng, et al.
Published: (2025)
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)
by: Gui, Guan, et al.
Published: (2025)
AdR-Gaussian: Accelerating Gaussian Splatting with Adaptive Radius
by: Wang, Xinzhe, et al.
Published: (2024)
by: Wang, Xinzhe, et al.
Published: (2024)
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation
by: Liu, Yufei, et al.
Published: (2024)
by: Liu, Yufei, et al.
Published: (2024)
PiT: Progressive Diffusion Transformer
by: Wu, Jiafu, et al.
Published: (2025)
by: Wu, Jiafu, et al.
Published: (2025)
PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning
by: He, Qingdong, et al.
Published: (2024)
by: He, Qingdong, et al.
Published: (2024)
MotionMaster: Training-free Camera Motion Transfer For Video Generation
by: Hu, Teng, et al.
Published: (2024)
by: Hu, Teng, et al.
Published: (2024)
Deep Industrial Image Anomaly Detection: A Survey
by: Liu, Jiaqi, et al.
Published: (2023)
by: Liu, Jiaqi, et al.
Published: (2023)
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
by: Wang, Chengjie, et al.
Published: (2024)
by: Wang, Chengjie, et al.
Published: (2024)
Deepfake Generation and Detection: A Benchmark and Survey
by: Pei, Gan, et al.
Published: (2024)
by: Pei, Gan, et al.
Published: (2024)
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
by: He, Liren, et al.
Published: (2024)
by: He, Liren, et al.
Published: (2024)
Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction
by: Hu, Teng, et al.
Published: (2025)
by: Hu, Teng, et al.
Published: (2025)
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
by: Jiang, Xi, et al.
Published: (2024)
by: Jiang, Xi, et al.
Published: (2024)
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
by: Jiang, Xi, et al.
Published: (2024)
by: Jiang, Xi, et al.
Published: (2024)
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)
by: Zhang, Jiangning, et al.
Published: (2023)
3D Gaussian Head Avatars with Expressive Dynamic Appearances by Compact Tensorial Representations
by: Wang, Yating, et al.
Published: (2025)
by: Wang, Yating, et al.
Published: (2025)
IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing
by: Xie, Guoyang, et al.
Published: (2023)
by: Xie, Guoyang, et al.
Published: (2023)
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection
by: Chen, Xuhai, et al.
Published: (2023)
by: Chen, Xuhai, et al.
Published: (2023)
Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)
by: Fan, Yuanting, et al.
Published: (2025)
LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description
by: Jin, Yizhang, et al.
Published: (2024)
by: Jin, Yizhang, et al.
Published: (2024)
Similar Items
-
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
by: Zhu, Wenbing, et al.
Published: (2025) -
UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation
by: He, Qingdong, et al.
Published: (2024) -
Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era
by: Zhu, Wenbing, et al.
Published: (2025) -
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
by: Tu, Yuanpeng, et al.
Published: (2024) -
CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning
by: Wang, Yue, et al.
Published: (2022)