Search Results for author:
Found 3 papers, 1 papers with code
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward
Despite the impressive performance of LLMs, their widespread adoption faces challenges due to substantial computational and memory requirements during inference.
Exploring Attribute Variations in Style-based GANs using Diffusion Models
We capitalize on disentangled latent spaces of pretrained GANs and train a Denoising Diffusion Probabilistic Model (DDPM) to learn the latent distribution for diverse edits.
We never go out of Style: Motion Disentanglement by Subspace Decomposition of Latent Space
Real-world objects perform complex motions that involve multiple independent motion components.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
