:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Donghoon, Lee, Dongyoung, Chang, Ik Joon, Bae, Sung-Ho
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2509.26436
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Post Training Quantization for Efficient Dataset Condensation
by: Tran, Linh-Tam, et al.
Published: (2026)

Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion
by: Lee, Junhyeok, et al.
Published: (2025)

PhaseMark: A Post-hoc, Optimization-Free Watermarking of AI-generated Images in the Latent Frequency Domain
by: Lee, Sung Ju, et al.
Published: (2026)

From Street to Orbit: Training-Free Cross-View Retrieval via Location Semantics and LLM Guidance
by: Min, Jeongho, et al.
Published: (2025)

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
by: Lee, Dongyeun, et al.
Published: (2025)

Inlier-Centric Post-Training Quantization for Object Detection Models
by: Kim, Minsu, et al.
Published: (2026)

Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model
by: Won, John, et al.
Published: (2025)

Human-Guided Shade Artifact Suppression in CBCT-to-MDCT Translation via Schrödinger Bridge with Conditional Diffusion
by: Kang, Sung Ho, et al.
Published: (2025)

Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping
by: Ding, Ning, et al.
Published: (2025)

Semantic Watermarking Reinvented: Enhancing Robustness and Generation Quality with Fourier Integrity
by: Lee, Sung Ju, et al.
Published: (2025)

DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual Training
by: Kong, Jiyun, et al.
Published: (2025)

Gradient-Aligned Calibration for Post-Training Quantization of Diffusion Models
by: Hoang, Dung Anh, et al.
Published: (2026)

Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
by: Kim, Donghoon, et al.
Published: (2025)

Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model
by: Park, Sangjoon, et al.
Published: (2024)

Training Unbiased Diffusion Models From Biased Dataset
by: Kim, Yeongmin, et al.
Published: (2024)

PTQ4VM: Post-Training Quantization for Visual Mamba
by: Cho, Younghyun, et al.
Published: (2024)

Study on Real-Time Road Surface Reconstruction Using Stereo Vision
by: Ghimire, Deepak, et al.
Published: (2025)

Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification
by: Lee, Junhyeok, et al.
Published: (2026)

Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability
by: Won, Soyoun, et al.
Published: (2023)

ConceptPrism: Concept Disentanglement in Personalized Diffusion Models via Residual Token Optimization
by: Kim, Minseo, et al.
Published: (2026)

Weight Group-wise Post-Training Quantization for Medical Foundation Model
by: Chen, Yineng, et al.
Published: (2026)

IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
by: Kim, Gihwan, et al.
Published: (2025)

Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing
by: Kim, Dongyoung, et al.
Published: (2024)

Towards Accurate Post-training Quantization for Diffusion Models
by: Wang, Changyuan, et al.
Published: (2023)

EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models
by: Liu, Xuewen, et al.
Published: (2024)

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
by: Chen, Lei, et al.
Published: (2024)

QMamba: Post-Training Quantization for Vision State Space Models
by: Li, Yinglong, et al.
Published: (2025)

Zero-shot Quantization: A Comprehensive Survey
by: Kim, Minjun, et al.
Published: (2025)

MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization
by: Su, Le, et al.
Published: (2026)

TAG: A Simple Yet Effective Temporal-Aware Approach for Zero-Shot Video Temporal Grounding
by: Lee, Jin-Seop, et al.
Published: (2025)

SUCCESS-GS: Survey of Compactness and Compression for Efficient Static and Dynamic Gaussian Splatting
by: Youn, Seokhyun, et al.
Published: (2025)

OnlineBEV: Recurrent Temporal Fusion in Bird's Eye View Representations for Multi-Camera 3D Perception
by: Koh, Junho, et al.
Published: (2025)

Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data
by: Astrid, Marcella, et al.
Published: (2024)

Tail-Aware Post-Training Quantization for 3D Geometry Models
by: Pan, Sicheng, et al.
Published: (2026)

LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Image and Video Generation
by: Yang, Lianwei, et al.
Published: (2025)

Scheduling Weight Transitions for Quantization-Aware Training
by: Lee, Junghyup, et al.
Published: (2024)

Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
by: Zhong, Yunshan, et al.
Published: (2024)

AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
by: Wu, Zhuguanyu, et al.
Published: (2024)

Bridging the Domain Gap: A Simple Domain Matching Method for Reference-based Image Super-Resolution in Remote Sensing
by: Min, Jeongho, et al.
Published: (2024)

Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
by: Huang, Tianyu, et al.
Published: (2024)