Latest Research in Generative Visual Synthesis

Top Research Topics in Generative Visual Synthesis

• Computer Vision and Pattern Recognition — 378 papers
• Machine Learning — 75 papers
• Artificial Intelligence — 19 papers
• Generative Adversarial Networks and Image Synthesis — 16 papers
• Advanced Neural Network Applications — 14 papers
• Domain Adaptation and Few-Shot Learning — 7 papers
• Aesthetic Perception and Analysis — 7 papers
• Machine Learning — 7 papers
• Graphics — 6 papers
• Multimodal Machine Learning Applications — 5 papers

Highest-Cited Papers

1. Fine-tune the stable diffusion model using mindat data to generate mineral images from textual descriptions of attribute combinations
2. Null Dictionary Theory: Geometry, Groupoids, and Sparse Functorial Learning
3. Multimodal content generation and enhancement for smart imaging
4. Null Dictionary Theory: Geometry, Groupoids, and Sparse Functorial Learning
5. Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
6. Perceptual misalignment of texture representations in convolutional neural networks
7. MudraGen: Geometrically Supervised Generation of Interacting Two-Hand Mudras for preserving Indian Classical Dance Heritage
8. Steering Equilibrium Selection in Regularized Self-Play via the Reference Policy
9. Limits of Confidence in Diffusion
10. Training Flow Matching: The Role of Weighting and Parameterization
11. Refinement Is Inherently Editable: Training-Free Prompt-to-Prompt Image Editing with Generative Refinement Network
12. Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
13. Paint-Anything: Unified Any-Color Control for Image Generation and Editing
14. A Smaller Transformer in Your Transformer
15. CoMa: Contextual Massing Generation with Vision-Language Models
16. Recency Forcing: Bridging the Long-Horizon Gap in Autoregressive Video Generation
17. Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation
18. UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation
19. Enhanced Knowledge Distillation for Detection Transformer via Teacher Prediction Refinement
20. Rethinking the Design Space of Reinforcement Learning for Diffusion Models: On the Importance of Likelihood Estimation Beyond Loss Design

Sub-Regions

• Computer Science and Game Theory — 203 papers
• Computer Vision and Pattern Recognition — 159 papers
• Artificial Intelligence — 129 papers
• Generative Adversarial Networks and Image Synthesis — 115 papers
• Machine Learning — 98 papers
• Domain Adaptation and Few-Shot Learning — 91 papers