Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models

2 code implementations • 20 Mar 2023 • René Haas, Inbar Huberman-Spiegelglas, Rotem Mulayoff, Stella Graßhof, Sami S. Brandt, Tomer Michaeli

Recently, a semantic latent space for DDMs, coined `$h$-space', was shown to facilitate semantic image editing in a way reminiscent of GANs.

Attribute Denoising +1

Controllable GAN Synthesis Using Non-Rigid Structure-from-Motion

no code implementations • 14 Nov 2022 • René Haas, Stella Graßhof, Sami S. Brandt

The latent trajectories associated with changes in the camera and structure parameters are then identified by estimating the local inverse of the regressor in the neighborhood of a given latent code.

3D Reconstruction Image Generation

Tensor-based Emotion Editing in the StyleGAN Latent Space

no code implementations • 12 May 2022 • René Haas, Stella Graßhof, Sami S. Brandt

In this paper, we use a tensor model based on the Higher-Order Singular Value Decomposition (HOSVD) to discover semantic directions in Generative Adversarial Networks.

Non-Rigid Structure-From-Motion by Rank-One Basis Shapes

no code implementations • 30 Apr 2019 • Sami S. Brandt, Hanno Ackermann

The right singular vectors are affinely back-projected into the 3D space, and the affine back-projections will also be solved as part of the factorisation.