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2026 顶会论文

作者位次 #4/9ICLR 2026Poster· Computer Vision / Image and Video Generation

Purrception: Variational Flow Matching for Vector-Quantized Image Generation

Răzvan-Andrei Matișan · Tao Hu · Grigory Bartosh · Björn Ommer · Cees G Snoek · Max Welling · Jan-Willem van de Meent · Mohammad Mahdi Derakhshani · Floor Eijkelboom

多模态效率与系统OpenReview

作者位次 #7/7ICLR 2026Poster· Deep Learning / Generative Models and Autoencoders

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

Ming Gui · Johannes Schusterbauer · Timy Phan · Felix Krause · Joshua Susskind · MIGUEL ANGEL BAUTISTA · Björn Ommer

可解释性效率与系统OpenReview

作者位次 #6/6CVPR 2026Poster· Computer Vision & Pattern Recognition

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

Johannes Schusterbauer · Ming Gui · Yusong Li · Pingchuan Ma · Felix Krause · Björn Ommer

多模态OpenReview 项目页

作者位次 #3/3CVPR 2026Poster· Computer Vision & Pattern Recognition

EDGS: Eliminating Densification for Efficient Convergence of 3DGS

Dmytro Kotovenko · Olga Grebenkova · Björn Ommer

多模态效率与系统OpenReview 项目页

作者位次 #7/7CVPR 2026Poster· Computer Vision & Pattern Recognition

Guiding Token-Sparse Diffusion Models

Felix Krause · Stefan Andreas Baumann · Johannes Schusterbauer · Olga Grebenkova · Ming Gui · Vincent Tao Hu · Björn Ommer

多模态OpenReview 项目页

作者位次 #6/6CVPR 2026Poster· Computer Vision & Pattern Recognition

Learning Long-term Motion Embeddings for Efficient Kinematics Generation

Nick Stracke · Kolja Bauer · Stefan Andreas Baumann · MIGUEL ANGEL BAUTISTA · Josh Susskind · Björn Ommer

多模态效率与系统OpenReview 项目页

作者位次 #5/5CVPR 2026Poster· Computer Vision & Pattern Recognition

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers

Johannes Schusterbauer · Jannik Wiese · Nick Stracke · Timy Phan · Björn Ommer

多模态OpenReview 项目页

作者位次 #5/6KDD 2026Oral· Knowledge Discovery & Data Mining

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

Yun Qu · Cheems Wang · Yixiu Mao · Vincent Tao Hu · Björn Ommer · Xiangyang Ji

推理强化学习与后训练检索与知识OpenReview

作者位次 #7/9IROS 2026Poster· Object Geometry Perception in Degraded Visual Conditions

FlowTouch: View-Invariant Visuo-Tactile Prediction

Seongjin Bien · Carlo Kneissl · Tobias Thomas Jülg · Frank Fundel · Thomas Ressler-Antal · Florian Walter · Björn Ommer · Gitta Kutyniok · Wolfram Burgard

多模态Perception for Grasping and ManipulationForce and Tactile SensingTransfer LearningOpenReview

Björn Ommer

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2026 顶会论文

Purrception: Variational Flow Matching for Vector-Quantized Image Generation

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation

EDGS: Eliminating Densification for Efficient Convergence of 3DGS

Guiding Token-Sparse Diffusion Models

Learning Long-term Motion Embeddings for Efficient Kinematics Generation

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

FlowTouch: View-Invariant Visuo-Tactile Prediction

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