142 citations · 228 across the 8 of their papers we have counts for
7 papers · 1 filter
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Mustafa Işık, Martin Rünz, Markos Georgopoulos +4
Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the g…
Self-improving Multiplane-to-layer Images for Novel View Synthesis
Pavel Solovev, Taras Khakhulin, Denis Korzhenkov
We present a new method for lightweight novel-view synthesis that generalizes to an arbitrary forward-facing scene. Recent approaches are computationally expensive, require per-sce…
MegaPortraits: One-shot Megapixel Neural Head Avatars
Nikita Drobyshev, Jenya Chelishev, Taras Khakhulin +3
In this work, we advance the neural head avatar technology to the megapixel resolution while focusing on the particularly challenging task of cross-driving synthesis, i.e., when th…
Realistic One-shot Mesh-based Head Avatars
Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky +1
We present a system for realistic one-shot mesh-based human head avatars creation, ROME for short. Using a single photograph, our model estimates a person-specific head mesh and th…
Stereo Magnification with Multi-Layer Images
Taras Khakhulin, Denis Korzhenkov, Pavel Solovev +3
Representing scenes with multiple semi-transparent colored layers has been a popular and successful choice for real-time novel view synthesis. Existing approaches infer colors and…
Image Generators with Conditionally-Independent Pixel Synthesis
Ivan Anokhin, Kirill Demochkin, Taras Khakhulin +3
Existing image generator networks rely heavily on spatial convolutions and, optionally, self-attention blocks in order to gradually synthesize images in a coarse-to-fine manner. He…
High-Resolution Daytime Translation Without Domain Labels
Ivan Anokhin, Pavel Solovev, Denis Korzhenkov +6
Modeling daytime changes in high resolution photographs, e.g., re-rendering the same scene under different illuminations typical for day, night, or dawn, is a challenging image man…