Search Results for author:
Found 4 papers, 1 papers with code
See Further When Clear: Curriculum Consistency Model
Specifically, we regard the distillation process at each timestep as a curriculum and introduce a metric based on Peak Signal-to-Noise Ratio (PSNR) to quantify the learning complexity of this curriculum, then ensure that the curriculum maintains consistent learning complexity across different timesteps by having the teacher model iterate more steps when the noise intensity is low.
EasyDrag: Efficient Point-based Manipulation on Diffusion Models
Generative models are gaining increasing popularity and the demand for precisely generating images is on the rise.
An Efficient Pruning Process with Locality Aware Exploration and Dynamic Graph Editing for Subgraph Matching
Subgraph matching is a NP-complete problem that extracts isomorphic embeddings of a query graph $q$ in a data graph $G$.
Exploiting Knowledge Distillation for Few-Shot Image Generation
The existing pipeline is first pretraining a source model (which contains a generator and a discriminator) on a large-scale dataset and finetuning it on a target domain with limited samples.
