Mikhail Derevyannykh

I'm Mikhail Dereviannykh or just Mike

I do a PhD in AI and Graphics at KIT, where I research real-time neural rendering and teach GPU programming.
Previously, I worked in both academia and the game industry, focusing on graphics, rendering, and AI.

2025-Present- Research Scientist Intern, Meta Reality Labs, Redmond, USA
2022–Present – PhD Researcher, KIT (Prof. Dachsbacher), Karlsruhe, Germany
2021–2022 – Researcher, MSU Graphics & Media Lab, Moscow
2018–2022 – Senior R&D Engineer, Eagle Dynamics (DCS World), Moscow
2015–2017 – Founder & CTO, WellDone Team, Moscow

email: devmishok@gmail.com

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Updates:
- Invited to present "Neural Two-Level Monte Carlo Real-Time Rendering" at SIGGRAPH 2025 [New] [Link] - August 2025
- Secured Research Scientist Internship at Meta, Reality Lab, under Dr. Dario Seyb's supervision - Fall 2025
- Received "Best Paper Honorable Mention" at Eurographics 2025 [New] [Link] - 16.05.25 ⭐
- Meshy Fellowship 2025 Outstanding Prize Recipient [New] [Link] - 20.02.25 💸
- I started a PhD at KIT, IVD [Link] - 22.07.22
- Gave a talk about "Real-Time Neural Graphics" at Intel, GPU Research - 05.01.22

Neural Two-Level Monte Carlo Real-Time Rendering

Mikhail Dereviannykh, Dmitrii Klepikov, Johannes Hanika, Carsten Dachsbacher

Eurographics 2025, Computer Graphics Forum ⭐Best Paper Honorable Mention⭐ SIGGRAPH 2025

TLTR: We introduce Neural Incident Radiance Cache (NIRC) enabling efficient integration over a neural network domain instead of relying on costly path tracing. To ensure unbiased estimations and improved accuracy, we employ a Two-Level Monte Carlo approach, outperforming Neural Control Variates in training speed and representative power, saving on RTX usage

Paper | Project Page

Real-Time Path-Guiding Based on Parametric Mixture Model

Mikhail Derevyannykh

Eurographics 2022

TLTR: The first lightweight screen-space path-guiding for real-time use, based on online learning of parametric mixture models. 4× FLIP metric reduction at 1 spp, runs in <1.5ms on RTX 2070 at 1080p, and improves path coherence by 5%, reducing bias and SVGF flickering

Conference Version | Fast Forward | Video Presentation | Video Demo

DCS World VFX System - Senior Graphics Programmer

Developed a real-time GI algorithm (0.1ms update) using neural networks and distributed computing
Researched path-guiding for real-time rendering, presented at Eurographics 2022.
Built and optimized graphics effects, PBR volumetrics, and a particle editor.
Boosted engine performance with NSight, VTune, and C++/LUA optimizations.

Video Steam

Hungry Jump - CTO/Co-Founder of WellDone Games

Led development, ensuring smooth shipping, QA, and game design integration.
Delivered a polished game with 100 levels, 16 unique AI-driven insects, and 10+ custom UI screens.
Built a scalable data system (Google Spreadsheets + Python) managing 1M+ logic cells.
Engineered advanced insect flight physics using Markov Chain Random Walk.
Optimized performance and animations with Cocos2d-x + GAFMedia.

Video Google Play