fine-grained control
Fine-grained control in AI pertains to the ability to manage or adjust specific parameters or aspects of a model’s output. This is particularly relevant in applications where precision and nuanced adjustments are crucial, such as in generative models.
- Angular Steering: Behavior Control via Rotation in Activation Space
- FlexOLMo: Open Language Models for Flexible Data Use
- GOATex: Geometry & Occlusion-Aware Texturing
- Hierarchical Koopman Diffusion: Fast Generation with Interpretable Diffusion Trajectory
- Improved Representation Steering for Language Models
- JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
- Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
- Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
- UniTransfer: Video Concept Transfer via Progressive Spatio-Temporal Decomposition
- XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation