:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Ge, Shiran, Huang, Chenyi, Ai, Yuang, Fan, Qihang, Huang, Huaibo, He, Ran
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2512.15347
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rectifying Magnitude Neglect in Linear Attention
by: Fan, Qihang, et al.
Published: (2025)

Random Wins All: Rethinking Grouping Strategies for Vision Tokens
by: Fan, Qihang, et al.
Published: (2026)

Breaking Complexity Barriers: High-Resolution Image Restoration with Rank Enhanced Linear Attention
by: Ai, Yuang, et al.
Published: (2025)

DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
by: Ai, Yuang, et al.
Published: (2025)

LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2024)

Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens
by: Fan, Qihang, et al.
Published: (2024)

Breaking the Low-Rank Dilemma of Linear Attention
by: Fan, Qihang, et al.
Published: (2024)

Lightweight Vision Transformer with Bidirectional Interaction
by: Fan, Qihang, et al.
Published: (2023)

Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration
by: Ai, Yuang, et al.
Published: (2023)

Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer
by: Ai, Yuang, et al.
Published: (2023)

RMT: Retentive Networks Meet Vision Transformers
by: Fan, Qihang, et al.
Published: (2023)

Advancing Vision Transformer with Enhanced Spatial Priors
by: Fan, Qihang, et al.
Published: (2026)

Vision Transformer with Sparse Scan Prior
by: Zhang, Yuguang, et al.
Published: (2024)

InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning
by: Han, Xiaotian, et al.
Published: (2024)

Hybrid Spatial Representations for Species Distribution Modeling
by: Yuan, Shiran, et al.
Published: (2024)

A generalizable framework for low-rank tensor completion with numerical priors
by: Yuan, Shiran, et al.
Published: (2023)

Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity and Performance Restoration
by: He, Shwai, et al.
Published: (2024)

GRPO-RM: Fine-Tuning Representation Models via GRPO-Driven Reinforcement Learning
by: Xu, Yanchen, et al.
Published: (2025)

Straighter Flow Matching via a Diffusion-Based Coupling Prior
by: Xing, Siyu, et al.
Published: (2023)

Large-scale Dataset Pruning with Dynamic Uncertainty
by: He, Muyang, et al.
Published: (2023)

Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning
by: Tekin, Selim Furkan, et al.
Published: (2024)

DeVAn: Dense Video Annotation for Video-Language Models
by: Liu, Tingkai, et al.
Published: (2023)

GRPO-TTA: Test-Time Visual Tuning for Vision-Language Models via GRPO-Driven Reinforcement Learning
by: Li, Yujun, et al.
Published: (2026)

Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models
by: He, Dailan, et al.
Published: (2025)

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models
by: Li, Yuming, et al.
Published: (2025)

ViTAR: Vision Transformer with Any Resolution
by: Fan, Qihang, et al.
Published: (2024)

E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models
by: Zhang, Shengjun, et al.
Published: (2026)

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward
by: Huang, Runhui, et al.
Published: (2026)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
by: Alvar, Saeed Ranjbar, et al.
Published: (2025)

UDM-GRPO: Stable and Efficient Group Relative Policy Optimization for Uniform Discrete Diffusion Models
by: Wang, Jiaqi, et al.
Published: (2026)

Data Pruning in Generative Diffusion Models
by: Briq, Rania, et al.
Published: (2024)

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think
by: Tang, Bingda, et al.
Published: (2026)

TreeGRPO: Tree-Advantage GRPO for Online RL Post-Training of Diffusion Models
by: Ding, Zheng, et al.
Published: (2025)

Fine-Grained GRPO for Precise Preference Alignment in Flow Models
by: Zhou, Yujie, et al.
Published: (2025)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models
by: Ganjdanesh, Alireza, et al.
Published: (2024)

DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation
by: Ai, Yuang, et al.
Published: (2024)

Expanding the Role of Diffusion Models for Robust Classifier Training
by: Huang, Pin-Han, et al.
Published: (2026)

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model
by: Zhou, Renping, et al.
Published: (2025)

Explicit Critic Guidance for Aligning Diffusion Models
by: Liang, Zhengyang, et al.
Published: (2026)