Michal Lukac

6 papers · 2019–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

Venues

CVPR (3) ECCV (2) WACV (1)

Top co-authors

Matthew Fisher (2) Eli Shechtman (2) Nanxuan Zhao (2) Vikas Thamizharasan (2) Evangelos Kalogerakis (2) Difan Liu (2) David Futschik (1) Jan Čech (1) Adéla Šubrtová (1) Niloy J. Mitra (1)

Research topics

Deep Learning (4) Computer Vision (3) Machine Learning (3) Core Methods (3) Generation (3) Models (3) Artificial Intelligence (1) Computer Science (1) Applications (1) Core AI (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

vector graphics (2) generative model (2) score distillation sampling (2) image synthesis (1) texture synthesis (1) diffusion model (1) latent space (1) differentiable rendering (1) controllable generation (1) diffusion distillation (1) image interpolation (1) neural network (1) text-to-vector generation (1) neural implicit field (1) mean-shift mode seeking (1) representation learning (1) mode alignment (1) image generation (1) self-supervised learning (1)

Papers

Mean-Shift Distillation for Diffusion Mode Seeking WACV 2026 NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation CVPR 2024 ChunkyGAN: Real Image Inversion via Segments ECCV 2022 Im2Vec: Synthesizing Vector Graphics Without Vector Supervision CVPR 2021 LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors ECCV 2020 Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture CVPR 2019