Evgeny Burnaev

Affiliations

Applied AI Institute

papers

789

total citations

papers (23)

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

CVPR 2025arXiv

citations

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

NEURIPS 2023arXiv

citations

Extremal Domain Translation with Neural Optimal Transport

NEURIPS 2023arXiv

citations

Sphere-Guided Training of Neural Implicit Surfaces

CVPR 2023arXiv

citations

Towards Part-Based Understanding of RGB-D Scans

CVPR 2021arXiv

citations

Light Schrödinger Bridge

ICLR 2024arXiv

citations

NPBG++: Accelerating Neural Point-Based Graphics

CVPR 2022arXiv

citations

Estimating Barycenters of Distributions with Neural Optimal Transport

ICML 2024arXiv

citations

Disentanglement Learning via Topology

ICML 2024arXiv

citations

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

ICML 2024arXiv

citations

Evgeny Burnaev

Affiliations

papers (23)

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Deep Vectorization of Technical Drawings

Entropic Neural Optimal Transport via Diffusion Processes

Wasserstein Iterative Networks for Barycenter Estimation

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.

Light and Optimal Schrödinger Bridge Matching

BooVAE: Boosting Approach for Continual Learning of VAE

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Energy-guided Entropic Neural Optimal Transport

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Extremal Domain Translation with Neural Optimal Transport

Sphere-Guided Training of Neural Implicit Surfaces

Towards Part-Based Understanding of RGB-D Scans

Light Schrödinger Bridge

NPBG++: Accelerating Neural Point-Based Graphics

Estimating Barycenters of Distributions with Neural Optimal Transport

Disentanglement Learning via Topology

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

papers (23)

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark

Large-Scale Wasserstein Gradient Flows

Deep Vectorization of Technical Drawings

Entropic Neural Optimal Transport via Diffusion Processes

Wasserstein Iterative Networks for Barycenter Estimation

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.

Light and Optimal Schrödinger Bridge Matching

BooVAE: Boosting Approach for Continual Learning of VAE

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Energy-guided Entropic Neural Optimal Transport

CAD-Deform: Deformable Fitting of CAD Models to 3D Scans

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark

Extremal Domain Translation with Neural Optimal Transport

Sphere-Guided Training of Neural Implicit Surfaces

Towards Part-Based Understanding of RGB-D Scans

Light Schrödinger Bridge

NPBG++: Accelerating Neural Point-Based Graphics

Estimating Barycenters of Distributions with Neural Optimal Transport

Disentanglement Learning via Topology

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation