9 citations · 22 across the 4 of their papers we have counts for
5 papers
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer +4
We introduce InseRF, a novel method for generative object insertion in the NeRF reconstructions of 3D scenes. Based on a user-provided textual description and a 2D bounding box in…
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions
Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni +4
Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors. Rec…
Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins, Raja Bala, Bob Price +1
While the quality of GAN image synthesis has improved tremendously in recent years, our ability to control and condition the output is still limited. Focusing on StyleGAN, we intro…
Detecting Memorization in ReLU Networks
Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk
We propose a new notion of `non-linearity' of a network layer with respect to an input batch that is based on its proximity to a linear system, which is reflected in the non-negati…
Deep Feature Factorization For Concept Discovery
Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk
We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images. We use DFF to gain insight into a deep con…