DivCon: Divide and Conquer for Complex Numerical and Spatial Reasoning in Text-to-Image Generation
Fuente:
arXiv
Guardado en:
| Autores principales: | Jia, Yuhao, Tan, Wenhan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF
por: Lee, Ingyun, et al.
Publicado: (2025)
por: Lee, Ingyun, et al.
Publicado: (2025)
MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
por: Wang, Yanhui, et al.
Publicado: (2023)
por: Wang, Yanhui, et al.
Publicado: (2023)
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
por: Wang, Zhenyu, et al.
Publicado: (2024)
por: Wang, Zhenyu, et al.
Publicado: (2024)
DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
por: Song, Jaewoo, et al.
Publicado: (2025)
por: Song, Jaewoo, et al.
Publicado: (2025)
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
por: Xu, Haoran, et al.
Publicado: (2026)
por: Xu, Haoran, et al.
Publicado: (2026)
GeoDiv: Framework For Measuring Geographical Diversity In Text-To-Image Models
por: Basu, Abhipsa, et al.
Publicado: (2026)
por: Basu, Abhipsa, et al.
Publicado: (2026)
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
por: Tu, Yuanpeng, et al.
Publicado: (2024)
por: Tu, Yuanpeng, et al.
Publicado: (2024)
DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation
por: Zhao, Haoyu, et al.
Publicado: (2026)
por: Zhao, Haoyu, et al.
Publicado: (2026)
DC-Net: Divide-and-Conquer for Salient Object Detection
por: Zhu, Jiayi, et al.
Publicado: (2023)
por: Zhu, Jiayi, et al.
Publicado: (2023)
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
por: Zhang, Aoting, et al.
Publicado: (2025)
por: Zhang, Aoting, et al.
Publicado: (2025)
DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation
por: Ouyang, Junyi, et al.
Publicado: (2026)
por: Ouyang, Junyi, et al.
Publicado: (2026)
Divide and Conquer: Grounding a Bleeding Areas in Gastrointestinal Image with Two-Stage Model
por: Lin, Yu-Fan, et al.
Publicado: (2024)
por: Lin, Yu-Fan, et al.
Publicado: (2024)
Evaluating the Generation of Spatial Relations in Text and Image Generative Models
por: Sim, Shang Hong, et al.
Publicado: (2024)
por: Sim, Shang Hong, et al.
Publicado: (2024)
Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
por: Xiao, Junyuan, et al.
Publicado: (2026)
por: Xiao, Junyuan, et al.
Publicado: (2026)
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
por: Hu, Jin, et al.
Publicado: (2024)
por: Hu, Jin, et al.
Publicado: (2024)
Divide and Conquer: Reliable Multi-View Evidential Learning for Deepfake Detection
por: Kang, Xiaolu, et al.
Publicado: (2026)
por: Kang, Xiaolu, et al.
Publicado: (2026)
Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
por: Cong, Runmin, et al.
Publicado: (2025)
por: Cong, Runmin, et al.
Publicado: (2025)
Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
por: Tian, Yuan, et al.
Publicado: (2025)
por: Tian, Yuan, et al.
Publicado: (2025)
Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration
por: Pham, Xuan Loc, et al.
Publicado: (2025)
por: Pham, Xuan Loc, et al.
Publicado: (2025)
DivControl: Knowledge Diversion for Controllable Image Generation
por: Xie, Yucheng, et al.
Publicado: (2025)
por: Xie, Yucheng, et al.
Publicado: (2025)
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
por: Zhang, Lu, et al.
Publicado: (2024)
por: Zhang, Lu, et al.
Publicado: (2024)
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation
por: Lian, Tao, et al.
Publicado: (2024)
por: Lian, Tao, et al.
Publicado: (2024)
DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
por: Kim, Jihun, et al.
Publicado: (2025)
por: Kim, Jihun, et al.
Publicado: (2025)
Divide-and-Conquer: Dual-Hierarchical Optimization for Semantic 4D Gaussian Spatting
por: Yan, Zhiying, et al.
Publicado: (2025)
por: Yan, Zhiying, et al.
Publicado: (2025)
PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
por: Xiong, Xinyu, et al.
Publicado: (2025)
por: Xiong, Xinyu, et al.
Publicado: (2025)
Divide-and-Conquer Approach to Holistic Cognition in High-Similarity Contexts with Limited Data
por: Wang, Shijie, et al.
Publicado: (2026)
por: Wang, Shijie, et al.
Publicado: (2026)
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
por: Wang, Wenbin, et al.
Publicado: (2024)
por: Wang, Wenbin, et al.
Publicado: (2024)
Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
por: Osman, Nada, et al.
Publicado: (2024)
por: Osman, Nada, et al.
Publicado: (2024)
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
por: Zhao, Xingyue, et al.
Publicado: (2025)
por: Zhao, Xingyue, et al.
Publicado: (2025)
Divide and Conquer: Rethinking the Training Paradigm of Neural Radiance Fields
por: Ma, Rongkai, et al.
Publicado: (2024)
por: Ma, Rongkai, et al.
Publicado: (2024)
Divide-and-Conquer: Confluent Triple-Flow Network for RGB-T Salient Object Detection
por: Tang, Hao, et al.
Publicado: (2024)
por: Tang, Hao, et al.
Publicado: (2024)
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
por: Ma, Xinke, et al.
Publicado: (2025)
por: Ma, Xinke, et al.
Publicado: (2025)
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble
por: Rolih, Blaž, et al.
Publicado: (2024)
por: Rolih, Blaž, et al.
Publicado: (2024)
MERG3R: A Divide-and-Conquer Approach to Large-Scale Neural Visual Geometry
por: Cheng, Leo Kaixuan, et al.
Publicado: (2026)
por: Cheng, Leo Kaixuan, et al.
Publicado: (2026)
Divide-and-Conquer: Tree-structured Strategy with Answer Distribution Estimator for Goal-Oriented Visual Dialogue
por: Cai, Shuo, et al.
Publicado: (2025)
por: Cai, Shuo, et al.
Publicado: (2025)
Divide and Conquer Self-Supervised Learning for High-Content Imaging
por: Farndale, Lucas, et al.
Publicado: (2025)
por: Farndale, Lucas, et al.
Publicado: (2025)
Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
por: Pei, Gaozheng, et al.
Publicado: (2025)
por: Pei, Gaozheng, et al.
Publicado: (2025)
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
por: Wang, Chong, et al.
Publicado: (2024)
por: Wang, Chong, et al.
Publicado: (2024)
DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
por: Gan, Chaofan, et al.
Publicado: (2024)
por: Gan, Chaofan, et al.
Publicado: (2024)
GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry
por: Le, Jiajun, et al.
Publicado: (2025)
por: Le, Jiajun, et al.
Publicado: (2025)
Ejemplares similares
-
DivCon-NeRF: Diverse and Consistent Ray Augmentation for Few-Shot NeRF
por: Lee, Ingyun, et al.
Publicado: (2025) -
MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
por: Wang, Yanhui, et al.
Publicado: (2023) -
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation
por: Wang, Zhenyu, et al.
Publicado: (2024) -
DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy
por: Song, Jaewoo, et al.
Publicado: (2025) -
Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
por: Xu, Haoran, et al.
Publicado: (2026)