PointDiT: Pixel-Space Diffusion for Monocular Geometry Estimation
ICML 2026
A minimalist pixel-space diffusion transformer that predicts dense 3D point maps from a single image, with no VAE and no hybrid architecture.
Haofei Xu徐豪飞
Researcher at KE:SAI Open Science Lab
Postdoc at ETH Zurich
I am a researcher at KE:SAI Open Science Lab and a postdoc at ETH Zurich, advised by Andreas Geiger and Marc Pollefeys.
I received my PhD from ETH Zurich under the supervision of Marc Pollefeys and Andreas Geiger. During my PhD, I interned at Google, where I worked with Michael Niemeyer and Federico Tombari. Previously, I worked with Jianfei Cai and Hamid Rezatofighi at Monash University. I earned my master's degree from University of Science and Technology of China, where I worked with Juyong Zhang. During my master's, I also studied as an exchange student at NTU and completed a research internship at Microsoft Research Asia.
I am honored to have been named a 2025 Apple Scholar in AI/ML. I also received the Gold Reviewer Award at ICML 2026, the Top Reviewer Award at NeurIPS 2024, and the Outstanding Reviewer Award at CVPR 2022.
Selected Publications
Full list on Google ScholarI build simple, scalable models for 3D vision. My work spans dense correspondence (GMFlow, UniMatch), point tracking (MegaFlow, MVTracker), feed-forward Gaussian splatting (MVSplat, DepthSplat, NoPoSplat), learned optimization for test-time scaling (ReSplat), and pixel-space diffusion for geometry (PointDiT). I now work on representation learning and generative models for efficient, scalable world models and physical AI.
ReSplat: Learning Recurrent Gaussian Splatting
ECCV 2026Spotlight
Test-time scaling for feed-forward Gaussian splatting.
MegaFlow: Zero-Shot Large Displacement Optical Flow
ECCV 2026
A simple yet powerful framework for large-displacement optical flow and point tracking.
Multi-View 3D Point Tracking
ICCV 2025Oral
The first data-driven multi-view 3D point tracker for tracking arbitrary 3D points across multiple cameras.
DepthSplat: Connecting Gaussian Splatting and Depth
CVPR 2025
Cross-task interactions between feed-forward Gaussian splatting and depth.
PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting
CVPR 2025
4K panorama synthesis with a single feed-forward inference.
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
ICLR 2025Oral
Unposed 3DGS reconstruction made easy.
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
ECCV 2024Oral
A cost volume representation for efficiently predicting 3D Gaussians from sparse multi-view images in a single feed-forward inference.
Unifying Flow, Stereo and Depth Estimation
TPAMI 2023
A unified dense correspondence matching formulation enables three motion and 3D perception tasks to be solved with a unified model.
High-Resolution Optical Flow from 1D Attention and Correlation
ICCV 2021Oral
Factorizing 2D optical flow with 1D attention and 1D correlation enables 4K resolution optical flow estimation on standard GPUs.
AANet: Adaptive Aggregation Network for Efficient Stereo Matching
CVPR 2020
A sparse points-based cost aggregation method leads to an efficient and accurate stereo matching architecture without any 3D convolutions.
Invited Talks
Generative Reconstruction: Towards Unified Spatial IntelligenceMicrosoft Research Asia (MSRA) · hosted by Jiaolong Yang
Jul 16, 2026
PointDiT: Pixel-Space Diffusion for 3D GenerationZhejiang University · hosted by Yiyi Liao
Apr 23, 2026
PointDiT: Pixel-Space Diffusion for 3D GenerationWestlake University · hosted by Anpei Chen
Apr 22, 2026
Learning to Optimize 3D Gaussian SplattingHuawei
Mar 9, 2026
Multi-View 3D Point TrackingGoogle DeepMind · hosted by Junhwa Hur
Sep 29, 2025
Learning to SplatHuawei
Jun 3, 2025
DepthSplat: Connecting Gaussian Splatting and DepthGoogle DeepMind · hosted by Ben Poole
Oct 29, 2024
Unifying Flow, Stereo and Depth EstimationSynced (机器之心) · slides
Dec 28, 2022
GMFlow: Learning Optical Flow via Global MatchingMonash University · slides
Apr 13, 2022
Teaching
Head Teaching Assistant3D Vision
Spring 2026
Head Teaching Assistant3D Vision
Spring 2025
Teaching AssistantComputer Vision
Fall 2024
Teaching AssistantStochastics and Machine Learning
Spring 2024
Teaching AssistantRobot Learning
Fall 2023
Academic Services
Conference Reviewer
ICCV 2021CVPR 2022ECCV 2022CVPR 2023NeurIPS 2023CVPR 2024ECCV 2024NeurIPS 2024CVPR 2025ICCV 2025NeurIPS 2025CVPR 2026ICML 2026ECCV 2026
Journal Reviewer
TIPIJCVTPAMI
Awards
ICML 2026
NeurIPS 2024
CVPR 2022
National Scholarship
2016