Pirk, Soren

13 publications

ICCV 2025 Augmented Mass-Spring Model for Real-Time Dense Hair Simulation J. H. Alejandro Amador, Yi Zhou, Xin Sun, Zhixin Shu, Chengan He, Soren Pirk, Dominik L. Michels

ICLR 2025 Perm: A Parametric Representation for Multi-Style 3D Hair Modeling Chengan He, Xin Sun, Zhixin Shu, Fujun Luan, Soren Pirk, Jorge Alejandro Amador Herrera, Dominik Michels, Tuanfeng Yang Wang, Meng Zhang, Holly Rushmeier, Yi Zhou

TMLR 2024 A Lennard-Jones Layer for Distribution Normalization Mulun Na, Jonathan Klein, Biao Zhang, Wojtek Palubicki, Soren Pirk, Dominik Michels

CVPR 2024 Carve3D: Improving Multi-View Reconstruction Consistency for Diffusion Models with RL Finetuning Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu, Yi Zhou, Sai Bi, Sören Pirk, Arie E. Kaufman

WACV 2024 Consistent Multimodal Generation via a Unified GAN Framework Zhen Zhu, Yijun Li, Weijie Lyu, Krishna Kumar Singh, Zhixin Shu, Sören Pirk, Derek Hoiem

CVPRW 2024 Generating Diverse Agricultural Data for Vision-Based Farming Applications Mikolaj Cieslak, Umabharathi Govindarajan, Alejandro Garcia, Anuradha Chandrashekar, Torsten Hädrich, Aleksander Mendoza-Drosik, Dominik L. Michels, Sören Pirk, Chia-Chun Fu, Wojciech Palubicki

NeurIPS 2024 LRM-Zero: Training Large Reconstruction Models with Synthesized Data Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan

ICCV 2023 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets Ta-Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Měch, Andrew Markham, Niki Trigoni

ICCV 2023 GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning Desai Xie, Ping Hu, Xin Sun, Soren Pirk, Jianming Zhang, Radomir Mech, Arie E. Kaufman

CVPRW 2022 Self-Supervised Learning of Pose-Informed Latents Raphaël Jean, Pierre-Luc St-Charles, Sören Pirk, Simon Brodeur

CVPR 2021 Taskology: Utilizing Task Relations at Scale Yao Lu, Soren Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon

AAAI 2019 Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova

CVPRW 2019 Unsupervised Monocular Depth and Ego-Motion Learning with Structure and Semantics Vincent Casser, Sören Pirk, Reza Mahjourian, Anelia Angelova