:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xie, Yucheng, Feng, Fu, Shi, Ruixiao, Wang, Jing, Rui, Yong, Geng, Xin
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	https://arxiv.org/abs/2507.23620
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Self-Supervised Weight Templates for Scalable Vision Model Initialization
par: Xie, Yucheng, et autres
Publié: (2026)

KIND: Knowledge Integration and Diversion for Training Decomposable Models
par: Xie, Yucheng, et autres
Publié: (2024)

FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models
par: Xie, Yucheng, et autres
Publié: (2024)

FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning
par: Shi, Ruixiao, et autres
Publié: (2025)

A Creative Agent is Worth a 64-Token Template
par: Shi, Ruixiao, et autres
Publié: (2026)

Knowledge Diversion for Efficient Morphology Control and Policy Transfer
par: Feng, Fu, et autres
Publié: (2025)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
par: Alvar, Saeed Ranjbar, et autres
Publié: (2025)

Enriching Knowledge Distillation with Intra-Class Contrastive Learning
par: Yuan, Hua, et autres
Publié: (2025)

Distribution-Conditional Generation: From Class Distribution to Creative Generation
par: Feng, Fu, et autres
Publié: (2025)

Redefining <Creative> in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation
par: Feng, Fu, et autres
Publié: (2024)

DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation
par: Yang, Yuxuan, et autres
Publié: (2024)

N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
par: Xing, Yucheng, et autres
Publié: (2026)

Model-Agnostic Gender Bias Control for Text-to-Image Generation via Sparse Autoencoder
par: Wu, Chao, et autres
Publié: (2025)

Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density
par: Li, Shuangqi, et autres
Publié: (2024)

Input-Adaptive Generative Dynamics in Diffusion Models
par: Xing, Yucheng, et autres
Publié: (2024)

OmniControlNet: Dual-stage Integration for Conditional Image Generation
par: Wang, Yilin, et autres
Publié: (2024)

Enhancing Diffusion-Based Quantitatively Controllable Image Generation via Matrix-Form EDM and Adaptive Vicinal Training
par: Ding, Xin, et autres
Publié: (2026)

Controllable Image Generation with Composed Parallel Token Prediction
par: Stirling, Jamie, et autres
Publié: (2024)

From Broad Exploration to Stable Synthesis: Entropy-Guided Optimization for Autoregressive Image Generation
par: Song, Han, et autres
Publié: (2026)

Cocktail: Mixing Multi-Modality Controls for Text-Conditional Image Generation
par: Hu, Minghui, et autres
Publié: (2023)

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
par: Nie, Qiang, et autres
Publié: (2024)

Diverse Image Priors for Black-box Data-free Knowledge Distillation
par: Vo, Tri-Nhan, et autres
Publié: (2026)

MIP Candy: A Modular PyTorch Framework for Medical Image Processing
par: Fu, Tianhao, et autres
Publié: (2026)

Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization
par: Feng, Xiaohua, et autres
Publié: (2024)

PreciseCam: Precise Camera Control for Text-to-Image Generation
par: Bernal-Berdun, Edurne, et autres
Publié: (2025)

Residual-based Language Models are Free Boosters for Biomedical Imaging
par: Lai, Zhixin, et autres
Publié: (2024)

Control+Shift: Generating Controllable Distribution Shifts
par: Friedman, Roy, et autres
Publié: (2024)

Towards Controllable Image Generation through Representation-Conditioned Diffusion Models
par: Karthikeyan, Nithesh Chandher, et autres
Publié: (2026)

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
par: Patel, Maitreya, et autres
Publié: (2024)

MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation
par: Chang, Yu, et autres
Publié: (2025)

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
par: Peng, Shi-Feng, et autres
Publié: (2024)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
par: Wang, Jingge, et autres
Publié: (2022)

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
par: Li, Longhua, et autres
Publié: (2025)

Couple to Control: Joint Initial Noise Design in Diffusion Models
par: Jia, Jing, et autres
Publié: (2026)

InstanceDiffusion: Instance-level Control for Image Generation
par: Wang, Xudong, et autres
Publié: (2024)

Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment
par: Lin, Xin Lei, et autres
Publié: (2025)

DivAvatar: Diverse 3D Avatar Generation with a Single Prompt
par: Tao, Weijing, et autres
Publié: (2024)

Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
par: Lin, Kuan Heng, et autres
Publié: (2024)

Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls
par: Luo, Yihong, et autres
Publié: (2025)

SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
par: Fu, Tianhao, et autres
Publié: (2026)