Artsiom Sanakoyeu

48 papers A* 13A 2Journal 27Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A* conf
Autoregressive Distillation of Diffusion Transformers.
CVPR
Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025 J jnl
Autoregressive Distillation of Diffusion Transformers.
CoRR
Yeongmin Kim, Sotiris Anagnostidis, Yuming Du, Edgar Schönfeld, Jonas Kohler, Markos Georgopoulos, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu
2025 A* conf
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute.
CVPR
Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025 J jnl
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute.
CoRR
Sotiris Anagnostidis, Gregor Bachmann, Yeongmin Kim, Jonas Kohler, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Albert Pumarola, Ali K. Thabet, Edgar Schönfeld
2025 A* conf
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment.
ICLR
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler
2025 J jnl
Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model Alignment.
CoRR
Gregor Bachmann, Sotiris Anagnostidis, Albert Pumarola, Markos Georgopoulos, Artsiom Sanakoyeu, Yuming Du, Edgar Schönfeld, Ali K. Thabet, Jonas Kohler
2025 J jnl
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models.
CoRR
Xu Ma, Peize Sun, Haoyu Ma, Hao Tang, Chih-Yao Ma, Jialiang Wang, Kunpeng Li, Xiaoliang Dai, Yujun Shi, Xuan Ju, Yushi Hu, Artsiom Sanakoyeu, Felix Juefei-Xu, Ji Hou, Junjiao Tian, Tao Xu, Tingbo Hou, Yen-Cheng Liu, Zecheng He, Zijian He, Matt Feiszli, Peizhao Zhang, Peter Vajda, Sam S. Tsai, Yun Fu
2025 A conf
XR-MBT: Multi-Modal Full Body Tracking for XR Through Self-Supervision with Learned Depth Point Cloud Registration.
WACV
Denys Rozumnyi, Nadine Bertsch, Othman Sbai, Filippo Arcadu, Yuhua Chen, Artsiom Sanakoyeu, Manoj Kumar, Catherine Herold, Robin Kips
2024 A* conf
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CVPR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2024 J jnl
Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.
CoRR
Jonas Kohler, Albert Pumarola, Edgar Schönfeld, Artsiom Sanakoyeu, Roshan Sumbaly, Peter Vajda, Ali K. Thabet
2024 A conf
StyleAvatar: Stylizing Animatable Head Avatars.
WACV
Juan C. Pérez, Thu Nguyen-Phuoc, Chen Cao, Artsiom Sanakoyeu, Tomas Simon, Pablo Arbeláez, Bernard Ghanem, Ali K. Thabet, Albert Pumarola
2024 J jnl
Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes.
CoRR
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
2024 J jnl
Using Motion Cues to Supervise Single-frame Body Pose & Shape Estimation in Low Data Regimes.
Trans. Mach. Learn. Res.
Andrey Davydov, Alexey Sidnev, Artsiom Sanakoyeu, Yuhua Chen, Mathieu Salzmann, Pascal Fua
2024 J jnl
XR-MBT: Multi-modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration.
CoRR
Denys Rozumnyi, Nadine Bertsch, Othman Sbai, Filippo Arcadu, Yuhua Chen, Artsiom Sanakoyeu, Manoj Kumar, Catherine Herold, Robin Kips
2023 A* conf
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model.
CVPR
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali K. Thabet, Artsiom Sanakoyeu
2023 J jnl
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model.
CoRR
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali K. Thabet, Artsiom Sanakoyeu
2023 — conf
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis.
ICCV (Workshops)
Angela Castillo, María Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali K. Thabet, Artsiom Sanakoyeu
2023 J jnl
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis.
CoRR
Angela Castillo, María Escobar, Guillaume Jeanneret, Albert Pumarola, Pablo Arbeláez, Ali K. Thabet, Artsiom Sanakoyeu
2023 J jnl
Cache Me if You Can: Accelerating Diffusion Models through Block Caching.
CoRR
Felix Wimbauer, Bichen Wu, Edgar Schönfeld, Xiaoliang Dai, Ji Hou, Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Kohler, Christian Rupprecht, Daniel Cremers, Peter Vajda, Jialiang Wang
2023 A* conf
Re-ReND: Real-time Rendering of NeRFs across Devices.
ICCV
Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem
2023 J jnl
Re-ReND: Real-time Rendering of NeRFs across Devices.
CoRR
Sara Rojas, Jesus Zarzar, Juan Camilo Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem
2023 J jnl
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.
CoRR
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
2022 J jnl
Improving Deep Metric Learning by Divide and Conquer.
IEEE Trans. Pattern Anal. Mach. Intell.
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2022 J jnl
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving.
CoRR
Stepan Konev, Kirill Brodt, Artsiom Sanakoyeu
2022 A* conf
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids.
NeurIPS
Albert Pumarola, Artsiom Sanakoyeu, Lior Yariv, Ali K. Thabet, Yaron Lipman
2021 A* conf
Discovering Relationships Between Object Categories via Universal Canonical Maps.
CVPR
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
2021 J jnl
Discovering Relationships between Object Categories via Universal Canonical Maps.
CoRR
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
2021 J jnl
Improving Deep Metric Learning by Divide and Conquer.
CoRR
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
2021 — —
Visual Representation Learning with Limited Supervision.
Artsiom Sanakoyeu
2020 J jnl
A Content Transformation Block For Image Style Transfer.
CoRR
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
2020 — conf
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors.
3DV
Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov
2020 J jnl
Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors.
CoRR
Akhmedkhan Shabanov, Ilya Krotov, Nikolay Chinaev, Vsevolod Poletaev, Sergei Kozlukov, Igor Pasechnik, Bulat Yakupov, Artsiom Sanakoyeu, Vadim Lebedev, Dmitry Ulyanov
2020 A* conf
Transferring Dense Pose to Proximal Animal Classes.
CVPR
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
2020 J jnl
Transferring Dense Pose to Proximal Animal Classes.
CoRR
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
2019 A* conf
A Content Transformation Block for Image Style Transfer.
CVPR
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
2019 A* conf
Content and Style Disentanglement for Artistic Style Transfer.
ICCV
Dmytro Kotovenko, Artsiom Sanakoyeu, Sabine Lang, Björn Ommer
2019 A* conf
Divide and Conquer the Embedding Space for Metric Learning.
CVPR
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
2019 J jnl
Divide and Conquer the Embedding Space for Metric Learning.
CoRR
Artsiom Sanakoyeu, Vadim Tschernezki, Uta Büchler, Björn Ommer
2019 J jnl
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks.
CoRR
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
2019 — conf
Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks.
GCPR
Yauhen Babakhin, Artsiom Sanakoyeu, Hirotoshi Kitamura
2018 — conf
A Style-Aware Content Loss for Real-Time HD Style Transfer.
ECCV (8)
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
2018 J jnl
A Style-Aware Content Loss for Real-time HD Style Transfer.
CoRR
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, Björn Ommer
2018 J jnl
Deep Unsupervised Learning of Visual Similarities.
CoRR
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
2018 J jnl
Deep unsupervised learning of visual similarities.
Pattern Recognit.
Artsiom Sanakoyeu, Miguel Ángel Bautista, Björn Ommer
2017 A* conf
Deep Unsupervised Similarity Learning Using Partially Ordered Sets.
CVPR
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
2017 J jnl
Deep Unsupervised Similarity Learning using Partially Ordered Sets.
CoRR
Miguel Ángel Bautista, Artsiom Sanakoyeu, Björn Ommer
2016 — conf
CliqueCNN: Deep Unsupervised Exemplar Learning.
NIPS
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva, Björn Ommer
2016 J jnl
CliqueCNN: Deep Unsupervised Exemplar Learning.
CoRR
Miguel Ángel Bautista, Artsiom Sanakoyeu, Ekaterina Sutter, Björn Ommer