9 citations · 18 across the 11 of their papers we have counts for
7 papers · 1 filter
The Amazing Stability of Flow Matching
Rania Briq, Michael Kamp, Ohad Fried +2
The success of deep generative models in generating high-quality and diverse samples is often attributed to particular architectures and large training datasets. In this paper, we…
Scaling Image Tokenizers with Grouped Spherical Quantization
Jiangtao Wang, Zhen Qin, Yifan Zhang +4
Vision tokenizers have gained a lot of attraction due to their scalability and compactness; previous works depend on old-school GAN-based hyperparameters, biased comparisons, and a…
Recurrent Transformer Variational Autoencoders for Multi-Action Motion Synthesis
Rania Briq, Chuhang Zou, Leonid Pishchulin +2
We consider the problem of synthesizing multi-action human motion sequences of arbitrary lengths. Existing approaches have mastered motion sequence generation in single action scen…
Towards Better Adversarial Synthesis of Human Images from Text
Rania Briq, Pratika Kochar, Juergen Gall
This paper proposes an approach that generates multiple 3D human meshes from text. The human shapes are represented by 3D meshes based on the SMPL model. The model's performance is…
Adversarial Synthesis of Human Pose from Text
Yifei Zhang, Rania Briq, Julian Tanke +1
This work focuses on synthesizing human poses from human-level text descriptions. We propose a model that is based on a conditional generative adversarial network. It is designed t…
Unifying Part Detection and Association for Recurrent Multi-Person Pose Estimation
Rania Briq, Andreas Doering, Juergen Gall
We propose a joint model of human joint detection and association for 2D multi-person pose estimation (MPPE). The approach unifies training of joint detection and association witho…
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation
Rania Briq, Michael Moeller, Juergen Gall
Weakly supervised semantic segmentation has been a subject of increased interest due to the scarcity of fully annotated images. We introduce a new approach for solving weakly super…