Energy-Based Models (EBMs) score complete candidate outputs with a single learned energy function, where lower energy indicates a better fit, and can define a probability distribution over outputs by …
Conditional Flow Matching (CFM), introduced in 2022, is a generative AI technique that transforms a simple distribution into a target distribution through continuous transformations, powering state-of…
Researchers introduced Prompt2Effect, a hypernetwork that generates effect-specific LoRA weights for Image-to-Video diffusion models in a single forward pass, eliminating the need for per-effect train…
Researchers have developed ICG, a framework that uses multimodal large language models and personalized preference alignment to generate cover images tailored to individual users. The system extracts …