9 citations · 15 across the 6 of their papers we have counts for
6 papers
Zooming into Comics: Region-Aware RL Improves Fine-Grained Comic Understanding in Vision-Language Models
Yule Chen, Yufan Ren, Sabine Süsstrunk
Complex visual narratives, such as comics, present a significant challenge to Vision-Language Models (VLMs). Despite excelling on natural images, VLMs often struggle with stylized…
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphael Achddou, Yann Gousseau, Saïd Ladjal +1
In this paper, we introduce a synthetic image generator relying on a few simple principles, specifically focusing on geometric modeling, textures, and a simple modeling of image ac…
Few-Shot Unsupervised Image-to-Image Translation on complex scenes
Luca Barras, Samuel Chassot, Daniel Filipe Nunes Silva
Unsupervised image-to-image translation methods have received a lot of attention in the last few years. Multiple techniques emerged tackling the initial challenge from different pe…
Volumetric Transformer Networks
Seungryong Kim, Sabine Süsstrunk, Mathieu Salzmann
Existing techniques to encode spatial invariance within deep convolutional neural networks (CNNs) apply the same warping field to all the feature channels. This does not account fo…
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…
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…