:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Ting, Wang, Yixiao, Ye, Hancheng, Shao, Zishan, Sun, Jingwei, Zhang, Jingyang, Chen, Zekai, Zhang, Jianyi, Chen, Yiran, Li, Hai
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2507.17135
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor
by: Wang, Yixiao, et al.
Published: (2026)

SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion
by: Lin, Yueqian, et al.
Published: (2023)

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
by: Wang, Qinsi, et al.
Published: (2025)

ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
by: Ye, Hancheng, et al.
Published: (2024)

FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching
by: Fu, Yuzhe, et al.
Published: (2026)

Federated Unsupervised Visual Representation Learning via Exploiting General Content and Personal Style
by: Yang, Yuewei, et al.
Published: (2022)

SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action Localization
by: Pujol-Perich, David, et al.
Published: (2023)

Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency
by: Gopal, Bhavna, et al.
Published: (2024)

Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction
by: Cai, Qinrong, et al.
Published: (2025)

OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery
by: Inkawhich, Matthew, et al.
Published: (2024)

MUSE: A Run-Centric Platform for Multimodal Unified Safety Evaluation of Large Language Models
by: Wang, Zhongxi, et al.
Published: (2026)

Trajectory-Consistent Calibration for Cache-Accelerated Diffusion Models
by: Liang, Mingyu, et al.
Published: (2026)

Diff-Shadow: Global-guided Diffusion Model for Shadow Removal
by: Luo, Jinting, et al.
Published: (2024)

Query-Conditioned Evidential Keyframe Sampling for MLLM-Based Long-Form Video Understanding
by: Wang, Yiheng, et al.
Published: (2026)

DICE: Disentangling Artist Style from Content via Contrastive Subspace Decomposition in Diffusion Models
by: Zhang, Tong, et al.
Published: (2026)

BridgeNet: Comprehensive and Effective Feature Interactions via Bridge Feature for Multi-task Dense Predictions
by: Zhang, Jingdong, et al.
Published: (2023)

ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
by: Ye, Xubing, et al.
Published: (2024)

Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
by: Wang, Ruoyu, et al.
Published: (2025)

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
by: Li, Shenglan, et al.
Published: (2025)

Peeking Behind the Curtains of Residual Learning
by: Zhang, Tunhou, et al.
Published: (2024)

Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
by: Fu, Hao, et al.
Published: (2024)

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud
by: Zhang, Tunhou, et al.
Published: (2022)

Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection
by: Sun, Jingwei, et al.
Published: (2024)

DexHandDiff: Interaction-aware Diffusion Planning for Adaptive Dexterous Manipulation
by: Liang, Zhixuan, et al.
Published: (2024)

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
by: Zhang, Jingyang, et al.
Published: (2023)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
by: Wang, Peng, et al.
Published: (2024)

Efficient Diffusion Model for Image Restoration by Residual Shifting
by: Yue, Zongsheng, et al.
Published: (2024)

ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under Uncertainties
by: Li, Jiahui, et al.
Published: (2024)

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
by: Ye, Hancheng, et al.
Published: (2024)

Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding Sample
by: Shao, Zhiwen, et al.
Published: (2024)

Tunable Hybrid Proposal Networks for the Open World
by: Inkawhich, Matthew, et al.
Published: (2022)

DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection
by: Zhang, Hui, et al.
Published: (2023)

Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
by: Zhu, Hancheng, et al.
Published: (2025)

Understanding Generalization in Diffusion Distillation via Probability Flow Distance
by: Zhang, Huijie, et al.
Published: (2025)

GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection
by: Chen, Jiaxin, et al.
Published: (2025)

Enhanced Sparsification via Stimulative Training
by: Tang, Shengji, et al.
Published: (2024)

Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
by: Han, Jiaqi, et al.
Published: (2026)

SODA: Sensitivity-Oriented Dynamic Acceleration for Diffusion Transformer
by: Shao, Tong, et al.
Published: (2026)

Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation
by: Xu, Dunyuan, et al.
Published: (2024)