unconditional generation
The process of generating data samples from a model without specific conditions or inputs, allowing for broader creativity in outputs.
- ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation
- Token Perturbation Guidance for Diffusion Models
- Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
- Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
- Unifying Symbolic Music Arrangement: Track-Aware Reconstruction and Structured Tokenization