activity
20212023
most citedEyeNeRF: A Hybrid Representation for Photorealistic Synthesis, Animation and Relighting of Human Eyes

31 citations · 68 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV2023★ 11 cited

DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models

Liangbin Xie, Xintao Wang, Xiangyu Chen +4

Image super-resolution (SR) with generative adversarial networks (GAN) has achieved great success in restoring realistic details. However, it is notorious that GAN-based SR models…

eess.IV2023★ 1 cited

OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer

Fanghua Yu, Xintao Wang, Mingdeng Cao +3

Omnidirectional images (ODIs) have obtained lots of research interest for immersive experiences. Although ODIs require extremely high resolution to capture details of the entire sc…

cs.CV2022★ 1 cited

GazeNeRF: 3D-Aware Gaze Redirection with Neural Radiance Fields

Alessandro Ruzzi, Xiangwei Shi, Xi Wang +5

We propose GazeNeRF, a 3D-aware method for the task of gaze redirection. Existing gaze redirection methods operate on 2D images and struggle to generate 3D consistent results. Inst…

cs.CV2022

Reconstructing Action-Conditioned Human-Object Interactions Using Commonsense Knowledge Priors

Xi Wang, Gen Li, Yen-Ling Kuo +3

We present a method for inferring diverse 3D models of human-object interactions from images. Reasoning about how humans interact with objects in complex scenes from a single 2D im…

cs.CV2022★ 4 cited

FaceFormer: Scale-aware Blind Face Restoration with Transformers

Aijin Li, Gen Li, Lei Sun +1

Blind face restoration usually encounters with diverse scale face inputs, especially in the real world. However, most of the current works support specific scale faces, which limit…

cs.CV2022★ 31 cited

EyeNeRF: A Hybrid Representation for Photorealistic Synthesis, Animation and Relighting of Human Eyes

Gengyan Li, Abhimitra Meka, Franziska Müller +3

A unique challenge in creating high-quality animatable and relightable 3D avatars of people is modeling human eyes. The challenge of synthesizing eyes is multifold as it requires 1…

cs.CV2022★ 13 cited

AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos

Yanze Wu, Xintao Wang, Gen Li +1

This paper studies the problem of real-world video super-resolution (VSR) for animation videos, and reveals three key improvements for practical animation VSR. First, recent real-w…

cs.CV2022★ 7 cited

VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

Yuchao Gu, Xintao Wang, Liangbin Xie +4

Although generative facial prior and geometric prior have recently demonstrated high-quality results for blind face restoration, producing fine-grained facial details faithful to i…

cs.CV2021

VariTex: Variational Neural Face Textures

Marcel C. Bühler, Abhimitra Meka, Gengyan Li +2

Deep generative models can synthesize photorealistic images of human faces with novel identities. However, a key challenge to the wide applicability of such techniques is to provid…