activity
20202025
most citedLearning to Recover 3D Scene Shape from a Single Image

4 citations · 11 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization

Junying Wang, Jingyuan Liu, Xin Sun +9

This paper introduces Comprehensive Relighting, the first all-in-one approach that can both control and harmonize the lighting from an image or video of humans with arbitrary body…

cs.CV2022★ 3 cited

Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image

Wei Yin, Jianming Zhang, Oliver Wang +4

Despite significant progress made in the past few years, challenges remain for depth estimation using a single monocular image. First, it is nontrivial to train a metric-depth pred…

cs.CV2022★ 4 cited

Towards Domain-agnostic Depth Completion

Guangkai Xu, Wei Yin, Jianming Zhang +4

Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, n…

cs.CV2022

Layered Depth Refinement with Mask Guidance

Soo Ye Kim, Jianming Zhang, Simon Niklaus +4

Depth maps are used in a wide range of applications from 3D rendering to 2D image effects such as Bokeh. However, those predicted by single image depth estimation (SIDE) models oft…

cs.CV2021

SSH: A Self-Supervised Framework for Image Harmonization

Yifan Jiang, He Zhang, Jianming Zhang +7

Image harmonization aims to improve the quality of image compositing by matching the "appearance" (\eg, color tone, brightness and contrast) between foreground and background image…

cs.CV2020★ 4 cited

Learning to Recover 3D Scene Shape from a Single Image

Wei Yin, Jianming Zhang, Oliver Wang +4

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art methods cannot be used to recover accurate 3D scene shape due to an unknown depth sh…