semantic fidelity
A measure of how well a generated output (such as text or images) accurately reflects the intended meaning, context, or semantics. High semantic fidelity is crucial for practical applications of generative models to ensure relevance and accuracy.
- Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization
- FSI-Edit: Frequency and Stochasticity Injection for Flexible Diffusion-Based Image Editing
- Image Editing As Programs with Diffusion Models
- Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
- On Fairness of Unified Multimodal Large Language Model for Image Generation
- One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
- PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
- RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
- SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing
- Text-to-Code Generation for Modular Building Layouts in Building Information Modeling
- Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Generation
- Wukong's 72 Transformations: High-fidelity Textured 3D Morphing via Flow Models