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Yue Dong
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Principal Researcher |
I am a principal researcher at Internet Graphics Group in Microsoft Research Asia, my work focuses mainly on appearance modeling with data coherency. I received my Ph.D. degree in Computer Science from Institute for Advanced Study at Tsinghua University in 2011, under the supervision of Professor Heung-Yeung Shum.
DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
Neural Path Sampling for Rendering Pure Specular Light Transport
Relighting Neural Radiance Fields with Shadow and Highlight Hints
Classifier Guided Temporal Supersampling for Real-time Rendering
Learning Texture Generators for 3D Shape Collections from Internet Photo Sets
Deep Reflectance Scanning:
Recovering Spatially-varying Material Appearance from a Flash-lit Video Sequence
TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning
Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination
Deferred Neural Lighting: Free-viewpoint Relighting from Unstructured Photographs
Object-based Illumination Estimation with Rendering-aware Neural Networks
Interactive Curation of Datasets for Training and Refining Generative Models
Deep Inverse Rendering for High-resolution SVBRDF Estimation from an Arbitrary Number of Images
The first two authors contributed equally to this paper.
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
Single Image Surface Appearance Modeling with Self-augmented CNNs and Inexact Supervision
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories
Recovering Shape and Spatially-Varying Surface Reflectance under Unknown Illumination
Sparse-as-Possible SVBRDF Acquisitions
Image Based Relighting Using Neural Networks
Measurement-based Editing of Diffuse Albedo with Consistent Interreflections
Appearance-from-Motion: Recovering Spatially Varying Surface Reflectance under Unknown Lighting
Reflectance Scanning: Estimating Shading Frame and BRDF with Generalized Linear Light Sources
Printing Spatially Varying Reflectance for Reproducing HDR Images
Diffusion Curve Textures for Resolution Independent Texture Mapping
AppGen: Interactive Material Modeling from a Single Image
Manifold Bootstrapping for SVBRDF Capture
Fabricating Spatially-Varying Subsurface Scattering
Kernel Nystrom for Light Transport
Lazy Solid Texture Synthesis
Modeling and Rendering Heterogeneous Translucent Materials using Diffusion Equation
Paper committees
Pacific Graphics 2015, 2016, 2019Eurographics 2019, 2021
Eurographics Symposium on Rendering 2020, 2021
ACM Symposium on Virtual Reality Software and Technology 2021
SIGGRAPH Asia Posters and Tech Comms 2019, 2020
CAD Graphics 2015, 2016, 2017, 2019, 2021
Reviewer
ACM SIGGRAPH, ACM SIGGRAPH Asia, Eurographics, Pacific Graphics, CGIACM TOG, IEEE TVCG, The Visual Computer, Computer Graphics Forum, Computers and Graphics
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Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than Eurographics must be honored.