activity
20192022
most citedPretraining is All You Need for Image-to-Image Translation

92 citations · 163 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV202292 cited

Pretraining is All You Need for Image-to-Image Translation

Tengfei Wang, Ting Zhang, Bo Zhang +4

We propose to use pretraining to boost general image-to-image translation. Prior image-to-image translation methods usually need dedicated architectural design and train individual…

cs.CV20221 cited

Real-Time Neural Character Rendering with Pose-Guided Multiplane Images

Hao Ouyang, Bo Zhang, Pan Zhang +5

We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality. We use a portable camera rig to capture…

cs.CV2022

Deep Video Prior for Video Consistency and Propagation

Chenyang Lei, Yazhou Xing, Hao Ouyang +1

Applying an image processing algorithm independently to each video frame often leads to temporal inconsistency in the resulting video. To address this issue, we present a novel and…

cs.CV20213 cited

Internal Video Inpainting by Implicit Long-range Propagation

Hao Ouyang, Tengfei Wang, Qifeng Chen

We propose a novel framework for video inpainting by adopting an internal learning strategy. Unlike previous methods that use optical flow for cross-frame context propagation to in…

cs.CV20214 cited

Image Inpainting with External-internal Learning and Monochromic Bottleneck

Tengfei Wang, Hao Ouyang, Qifeng Chen

Although recent inpainting approaches have demonstrated significant improvements with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt col…

cs.CV2021

Neural Camera Simulators

Hao Ouyang, Zifan Shi, Chenyang Lei +2

We present a controllable camera simulator based on deep neural networks to synthesize raw image data under different camera settings, including exposure time, ISO, and aperture. T…