FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Haowei, Zhao, Yuanpei, Zhou, Ji-Zhe, Li, Mao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection
by: Xie, Wenwei, et al.
Published: (2026)
by: Xie, Wenwei, et al.
Published: (2026)
CGI: Identifying Conditional Generative Models with Example Images
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds
by: Ma, Yanbiao, et al.
Published: (2024)
by: Ma, Yanbiao, et al.
Published: (2024)
DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO
by: Liu, Henglin, et al.
Published: (2025)
by: Liu, Henglin, et al.
Published: (2025)
Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis
by: Qiu, Kai, et al.
Published: (2025)
by: Qiu, Kai, et al.
Published: (2025)
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation
by: Cai, Yunxuan, et al.
Published: (2025)
by: Cai, Yunxuan, et al.
Published: (2025)
GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model
by: Fu, Yongjie, et al.
Published: (2024)
by: Fu, Yongjie, et al.
Published: (2024)
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory
by: Li, Mingzhuo, et al.
Published: (2025)
by: Li, Mingzhuo, et al.
Published: (2025)
Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation
by: Huang, Zhe, et al.
Published: (2025)
by: Huang, Zhe, et al.
Published: (2025)
CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation
by: Luo, Zhuoyan, et al.
Published: (2024)
by: Luo, Zhuoyan, et al.
Published: (2024)
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting
by: Yang, Maochen, et al.
Published: (2025)
by: Yang, Maochen, et al.
Published: (2025)
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generation
by: Xing, Ximing, et al.
Published: (2024)
by: Xing, Ximing, et al.
Published: (2024)
Unified Medical Image Segmentation with State Space Modeling Snake
by: Zhang, Ruicheng, et al.
Published: (2025)
by: Zhang, Ruicheng, et al.
Published: (2025)
Intelligent Communication Mixture-of-Experts Boosted-Medical Image Segmentation Foundation Model
by: Zhang, Xinwei, et al.
Published: (2025)
by: Zhang, Xinwei, et al.
Published: (2025)
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
by: Tsao, Li-Yuan, et al.
Published: (2024)
by: Tsao, Li-Yuan, et al.
Published: (2024)
GAMED-Snake: Gradient-aware Adaptive Momentum Evolution Deep Snake Model for Multi-organ Segmentation
by: Zhang, Ruicheng, et al.
Published: (2025)
by: Zhang, Ruicheng, et al.
Published: (2025)
On the Fairness, Diversity and Reliability of Text-to-Image Generative Models
by: Vice, Jordan, et al.
Published: (2024)
by: Vice, Jordan, et al.
Published: (2024)
GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation
by: Liang, Shuowen, et al.
Published: (2024)
by: Liang, Shuowen, et al.
Published: (2024)
Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
by: Mao, Jiawei, et al.
Published: (2025)
by: Mao, Jiawei, et al.
Published: (2025)
Enhancing Adversarial Robustness of Vision-Language Models through Low-Rank Adaptation
by: Ji, Yuheng, et al.
Published: (2024)
by: Ji, Yuheng, et al.
Published: (2024)
ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction
by: Duan, Zhongjie, et al.
Published: (2024)
by: Duan, Zhongjie, et al.
Published: (2024)
SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction
by: Jiang, Anqing, et al.
Published: (2025)
by: Jiang, Anqing, et al.
Published: (2025)
RealGeneral: Unifying Visual Generation via Temporal In-Context Learning with Video Models
by: Lin, Yijing, et al.
Published: (2025)
by: Lin, Yijing, et al.
Published: (2025)
CLoG: Benchmarking Continual Learning of Image Generation Models
by: Zhang, Haotian, et al.
Published: (2024)
by: Zhang, Haotian, et al.
Published: (2024)
Boosting 3D Object Generation through PBR Materials
by: Wang, Yitong, et al.
Published: (2024)
by: Wang, Yitong, et al.
Published: (2024)
PADS: Plug-and-Play 3D Human Pose Analysis via Diffusion Generative Modeling
by: Ji, Haorui, et al.
Published: (2024)
by: Ji, Haorui, et al.
Published: (2024)
How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation
by: Chen, Haoyu, et al.
Published: (2026)
by: Chen, Haoyu, et al.
Published: (2026)
Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality
by: Behravan, Majid, et al.
Published: (2025)
by: Behravan, Majid, et al.
Published: (2025)
A Generative Foundation Model for Multimodal Histopathology
by: Xiang, Jinxi, et al.
Published: (2026)
by: Xiang, Jinxi, et al.
Published: (2026)
Online Vectorized HD Map Construction using Geometry
by: Zhang, Zhixin, et al.
Published: (2023)
by: Zhang, Zhixin, et al.
Published: (2023)
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation
by: Kim, Nayeon, et al.
Published: (2024)
by: Kim, Nayeon, et al.
Published: (2024)
Neural Residual Diffusion Models for Deep Scalable Vision Generation
by: Ma, Zhiyuan, et al.
Published: (2024)
by: Ma, Zhiyuan, et al.
Published: (2024)
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers
by: Pham, Chau, et al.
Published: (2024)
by: Pham, Chau, et al.
Published: (2024)
DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning
by: Lingenberg, Tobias, et al.
Published: (2024)
by: Lingenberg, Tobias, et al.
Published: (2024)
FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models
by: Wang, Yuxuan, et al.
Published: (2025)
by: Wang, Yuxuan, et al.
Published: (2025)
Are Unified Vision-Language Models Necessary: Generalization Across Understanding and Generation
by: Zhang, Jihai, et al.
Published: (2025)
by: Zhang, Jihai, et al.
Published: (2025)
TeleBoost: A Systematic Alignment Framework for High-Fidelity, Controllable, and Robust Video Generation
by: Liang, Yuanzhi, et al.
Published: (2026)
by: Liang, Yuanzhi, et al.
Published: (2026)
ReWatch-R1: Boosting Complex Video Reasoning in Large Vision-Language Models through Agentic Data Synthesis
by: Zhang, Congzhi, et al.
Published: (2025)
by: Zhang, Congzhi, et al.
Published: (2025)
When Words Smile: Generating Diverse Emotional Facial Expressions from Text
by: Xu, Haidong, et al.
Published: (2024)
by: Xu, Haidong, et al.
Published: (2024)
Similar Items
-
Fractal Characterization of Low-Correlation Signals in AI-Generated Image Detection
by: Xie, Wenwei, et al.
Published: (2026) -
CGI: Identifying Conditional Generative Models with Example Images
by: Zhou, Zhi, et al.
Published: (2025) -
Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds
by: Ma, Yanbiao, et al.
Published: (2024) -
DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO
by: Liu, Henglin, et al.
Published: (2025) -
Magic-Boost: Boost 3D Generation with Multi-View Conditioned Diffusion
by: Yang, Fan, et al.
Published: (2024)