Ivan Skorokhodov

About Ivan Skorokhodov

Ivan Skorokhodov, With an exceptional h-index of 13 and a recent h-index of 13 (since 2020), a distinguished researcher at Moscow Institute of Physics and Technology, specializes in the field of deep learning, generative models, neural rendering.

His recent articles reflect a diverse array of research interests and contributions to the field:

TC4D: Trajectory-Conditioned Text-to-4D Generation

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

AToM: Amortized Text-to-Mesh using 2D Diffusion

4d-fy: Text-to-4d generation using hybrid score distillation sampling

Hyperhuman: Hyper-realistic human generation with latent structural diffusion

Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors

Factored-neus: Reconstructing surfaces, illumination, and materials of possibly glossy objects

3D generation on ImageNet

Ivan Skorokhodov Information

University

Position

KAUST

Citations(all)

768

Citations(since 2020)

766

Cited By

34

hIndex(all)

13

hIndex(since 2020)

13

i10Index(all)

15

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Ivan Skorokhodov Skills & Research Interests

deep learning

generative models

neural rendering

Top articles of Ivan Skorokhodov

TC4D: Trajectory-Conditioned Text-to-4D Generation

arXiv preprint arXiv:2403.17920

2024/3/26

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

arXiv preprint arXiv:2402.14797

2024/2/22

AToM: Amortized Text-to-Mesh using 2D Diffusion

arXiv preprint arXiv:2402.00867

2024/2/1

4d-fy: Text-to-4d generation using hybrid score distillation sampling

arXiv preprint arXiv:2311.17984

2023/11/29

Hyperhuman: Hyper-realistic human generation with latent structural diffusion

2024

Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors

arXiv preprint arXiv:2306.17843

2023/6/30

Factored-neus: Reconstructing surfaces, illumination, and materials of possibly glossy objects

arXiv preprint arXiv:2305.17929

2023/5/29

3D generation on ImageNet

arXiv preprint arXiv:2303.01416

2023/3/2

Unsupervised Volumetric Animation

2023

Satr: Zero-shot semantic segmentation of 3d shapes

2023

Generative Models for Neural Fields

2023

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks

2023

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

2023

Sida Peng
Sida Peng

H-Index: 4

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

EpiGRAF: Rethinking training of 3D GANs

Advances in Neural Information Processing Systems

2022/12/6

3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language

2022

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

2022/6/15

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

Aligning Latent and Image Spaces to Connect the Unconnectable

2021/10/14

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

HyperCGAN: Text-to-Image Synthesis with HyperNet-Modulated Conditional Generative Adversarial Networks

2021/10/6

Kilichbek Haydarov
Kilichbek Haydarov

H-Index: 2

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms

2022/6/30

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

Class Normalization for (Continual)? Generalized Zero-Shot Learning

2021

Ivan Skorokhodov
Ivan Skorokhodov

H-Index: 3

See List of Professors in Ivan Skorokhodov University(Moscow Institute of Physics and Technology)

Co-Authors

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