Yifan Wang

Orcid: 0000-0002-2275-7288

Affiliations:
  • Adobe Systems, San Jose, CA, USA
  • Stanford University, Palo Alto, CA, USA
  • ETH Zurich, Zürich, Switzerland, (PhD 2021)


According to our database1, Yifan Wang authored at least 25 papers between 2016 and 2024.

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Timeline

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Bibliography

2024
Pose-to-Motion: Cross-Domain Motion Retargeting with Pose Prior.
Comput. Graph. Forum, December, 2024

State of the Art on Diffusion Models for Visual Computing.
Comput. Graph. Forum, May, 2024

Evolutive Rendering Models.
CoRR, 2024

PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations.
Proceedings of the Computer Vision - ECCV 2024, 2024

GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

TC4D: Trajectory-Conditioned Text-to-4D Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Gaussian Shell Maps for Efficient 3D Human Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient 3D Articulated Human Generation with Layered Surface Volumes.
Proceedings of the International Conference on 3D Vision, 2024

LumiGAN: Unconditional Generation of Relightable 3D Human Faces.
Proceedings of the International Conference on 3D Vision, 2024

DehazeNeRF: Multi-image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields.
Proceedings of the International Conference on 3D Vision, 2024

2023
Articulated 3D Head Avatar Generation using Text-to-Image Diffusion Models.
CoRR, 2023

DehazeNeRF: Multiple Image Haze Removal and 3D Shape Reconstruction using Neural Radiance Fields.
CoRR, 2023

PointAvatar: Deformable Point-Based Head Avatars from Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Advances in Neural Rendering.
Comput. Graph. Forum, 2022

Generative Neural Articulated Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Input-level Inductive Biases for 3D Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Detail-driven Geometry Processing Pipeline using Neural Networks.
PhD thesis, 2021

Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Neural Cages for Detail-Preserving 3D Deformations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Differentiable surface splatting for point-based geometry processing.
ACM Trans. Graph., 2019

Blind image super-resolution with spatially variant degradations.
ACM Trans. Graph., 2019

Patch-Based Progressive 3D Point Set Upsampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A Fully Progressive Approach to Single-Image Super-Resolution.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2016
Two-Stream SR-CNNs for Action Recognition in Videos.
Proceedings of the British Machine Vision Conference 2016, 2016


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