Orest Kupyn

PhD Researcher at the Visual Geometry Group, Oxford & Google Research

Specializing in generative models, synthetic data generation, and 3D/video generation. Combined frontier research (4,000+ citations, publications at CVPR, ICLR, ECCV, ICCV; 2.6k★ open-source tools) with 10+ years of engineering experience — including founding a regional ML office, building research teams from scratch, and deploying computer vision systems serving millions of users at production scale.

Orest Kupyn
4,000+Citations
4k+GitHub Stars
10+Years in Industry

About

I'm a DPhil student at the Visual Geometry Group, University of Oxford, supervised by Christian Rupprecht. I am part of the ELLIS Industry PhD program — a joint PhD between Oxford and Google Research, with industrial supervision by Federico Tombari.

My research spans generative models and computer vision. I started with GANs for image restoration (DeblurGAN, 2.6k★), built production-scale 3D head reconstruction, tracking for real-time video editing systems at PiñataFarms — work that led to open-source datasets and benchmarks at CVPR and ECCV. My current focus is on synthetic data generation with diffusion models, geometric consistency in video generation, and simulation-ready, geometrically accurate 3D scene generation.

Before my PhD, I spent over a decade in industry. As a founding engineer at PiñataFarms (backed by Index Ventures & Founders Fund), I opened the company's regional engineering office, built a 10+ person ML research team from scratch, and deployed computer vision systems serving millions of users at production scale.

The thread across my work is making generative models useful — whether that meant shipping GANs to mobile devices, building datasets that close the domain gap, or aligning video diffusion models with epipolar geometry. I care about research that ships, and my industry background shapes how I think about problems.

News

2026New preprint: FLAT — feedforward latent triangle splatting for geometrically accurate scene generation.
2026VGGRPO and MMDiff accepted at ECCV 2026.
2026Recognized as Outstanding Reviewer at CVPR 2026.
2026New preprint: MMDiff — extending diffusion transformers for multi-modal generation.
2026VGGHeads accepted at CVPR Workshop 2026.
2026S3OD accepted at ICLR 2026 — presenting in Rio de Janeiro.
2025Joined Google Research as ELLIS Industry PhD researcher.
2024Instance-Level Augmentations accepted as Oral at ECCV 2024.
2023Started DPhil at Oxford, Visual Geometry Group.
Under Review
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
O. Kupyn, G. Bhat, P. Henzler, F. Manhardt, C. Rupprecht, F. Tombari
Under review 2026
PoseDreamer: Scalable Photorealistic Human Data Generation
PoseDreamer: Scalable Photorealistic Human Data Generation with Diffusion Models
L. Prospero, O. Kupyn, O. Viniavskyi, J. F. Henriques, C. Rupprecht
Under review 2026
Epipolar Geometry DPO
Epipolar Geometry Improves Video Generation Models
O. Kupyn, T. Uscidda, M. Tintore Gazulla, F. Manhardt, F. Tombari, C. Rupprecht
Under review 2026
Published
MMDiff: Extending Diffusion Transformers for Multi-Modal Generation
MMDiff: Extending Diffusion Transformers for Multi-Modal Generation
Y. Akarken, O. Kupyn, C. Rupprecht
ECCV 2026
VGGRPO: World-Consistent Video Generation
VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward
Z. An, O. Kupyn, T. Uscidda, A. Colaco, K. Ahuja, S. Belongie, M. Gonzalez-Franco, M. Tintore Gazulla
ECCV 2026
S3OD: Generalizable Salient Object Detection
S3OD: Towards Generalizable Salient Object Detection with Synthetic Data
O. Kupyn, H. Kataoka, C. Rupprecht et al.
ICLR 2026
VGGHeads: Large-Scale Synthetic Dataset for 3D Human Heads
VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads
O. Kupyn, E. Khvedchenia, C. Rupprecht
CVPRW 2026
Dataset Enhancement with Instance-Level Augmentations
Dataset Enhancement with Instance-Level Augmentations
O. Kupyn, C. Rupprecht
ECCV 2024 ORAL
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker
V. Borsuk, R. Vei, O. Kupyn, T. Martyniuk, I. Krashenyi, J. Matas
ECCV 2022
DAD-3DHeads: Large-Scale Dense, Accurate and Diverse Dataset
DAD-3DHeads: A Large-Scale Dense, Accurate and Diverse Dataset for 3D Head Alignment
T. Martyniuk, O. Kupyn, Y. Kurlyak, I. Krashenyi, J. Matas, V. Sharmanska
CVPR 2022
DeblurGAN-v2: Faster and Better Deblurring
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
O. Kupyn, T. Martyniuk, J. Wu, Z. Wang
ICCV 2019
DeblurGAN: Blind Motion Deblurring
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
O. Kupyn, V. Budzan, M. Mykhailych, D. Mishkin, J. Matas
CVPR 2018

Patents

2025
US12361710B2 — System for remixable video content and per-frame metadata capture and playback
PiñataFarms Inc. · Granted July 2025
C. Carrier, C. Adame, L. Schulte, O. Kupyn, A. Hakeem

Industry Experience

Sep 2025 — May 2026
ELLIS Industry PhD Researcher
Google Research · Zurich, Switzerland
Research on simulation-ready, geometrically accurate 3D scene generation.
May 2019 — Oct 2023
Founding Engineer & Research Lead
PiñataFarms · backed by Index Ventures & Founders Fund · Lviv, Ukraine
Second engineer at the company. Opened the regional engineering office and defined technical vision for all ML systems. Built and led a 10+ person ML research team from scratch; grew the office from 2 to 50+ employees. Architected end-to-end real-time CV pipeline — 3D head reconstruction, head segmentation & tracking, interactive segmentation, and content recommendation — serving millions of monthly active users with sub-100ms latency. Research shipped to production and published at CVPR & ECCV.
Aug 2018 — May 2019
Senior Research Engineer
SoftServe · Google Oil & Gas partnership · Lviv, Ukraine
Led development of seismic data segmentation and horizon detection module as subcontractor for Google's Oil and Gas Platform.
Mar 2018 — Aug 2018
Research Engineer
WANNABY · acquired by FarFetch · Minsk, Belarus
Developed GAN-based texture recoloring models for AR try-on applications and 3D foot reconstruction algorithms deployed in consumer mobile apps.
May 2013 — Apr 2018
Software Engineer
Eleks · SoftServe · Vakoms · Lviv, Ukraine
Satellite imagery segmentation for agriculture, text analysis platforms for manufacturing, and macOS development for enterprise videoconferencing.

Education

2023–
University of Oxford — Visual Geometry Group
DPhil in Engineering Science
ELLIS Industry PhD with Google Research. Supervised by Christian Rupprecht; industrial supervision by Federico Tombari.
2016
Ukrainian Catholic University
M.Sc. in Computer Science — Data Science Specialization
2012
Lviv National University
B.Sc. in Computer Science — Information Systems

Open Source & Impact

DeblurGAN-v1/v2 ★ 3,800+
Blind motion deblurring with conditional GANs.
Arctic Code Vault
DAD-3DHeads ★ 500+
Large-scale dense dataset and benchmark for 3D head alignment from a single image. CVPR 2022.
PiñataFarms Research
FEARTracker ★ 215+
Fast, efficient Siamese visual tracker. 10x faster than prior methods on mobile devices. ECCV 2022.
PiñataFarms Research
VGGHeads ★ 200+
Large-scale synthetic dataset and benchmark for 3D human head alignment.
S3OD
Open-source background removal model and synthetic data generation pipeline.