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20202025
most citedMulti-Scale Progressive Fusion Learning for Depth Map Super-Resolution

2 citations · 4 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

UniLight: A Unified Representation for Lighting

Zitian Zhang, Iliyan Georgiev, Michael Fischer +3

Lighting has a strong influence on visual appearance, yet understanding and representing lighting in images remains notoriously difficult. Various lighting representations exist, s…

cs.CV2025

Improving the color accuracy of lighting estimation models

Zitian Zhang, Joshua Urban Davis, Jeanne Phuong Anh Vu +2

Advances in high dynamic range (HDR) lighting estimation from a single image have opened new possibilities for augmented reality (AR) applications. Predicting complex lighting envi…

cs.CV2024★ 1 cited

ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion

Zitian Zhang, Frédéric Fortier-Chouinard, Mathieu Garon +2

We present ZeroComp, an effective zero-shot 3D object compositing approach that does not require paired composite-scene images during training. Our method leverages ControlNet to c…

cs.CV2021★ 1 cited

Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention

Zitian Zhang, Chuhua Xian

In this paper, we aim to solve the problem of consistent depth prediction in complex scenes under various illumination conditions. The existing indoor datasets based on RGB-D senso…

cs.CV2020★ 2 cited

Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution

Chuhua Xian, Kun Qian, Zitian Zhang +1

Limited by the cost and technology, the resolution of depth map collected by depth camera is often lower than that of its associated RGB camera. Although there have been many resea…