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Found 7 papers, 0 papers with code
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
We train Attribute Distribution Predictor (ADP) - a small mlp that maps the latent features to the distribution of attributes.
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.
Strata-NeRF : Neural Radiance Fields for Stratified Scenes
We propose Strata-NeRF, a single neural radiance field that implicitly captures a scene with multiple levels.
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.
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs
The quality of the generated images is predicated on two assumptions; (a) The richness of the hierarchical representations learnt by the generator, and, (b) The linearity and smoothness of the style spaces.
Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration
We propose a novel sampling method to sample latent from the manifold, enabling us to generate a diverse set of attribute styles beyond the styles present in the training set.
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction
Ever-increasing smartphone-generated video content demands intelligent techniques to edit and enhance videos on power-constrained devices.
