Faculty

Institution

Unit

Venue

David Alexander Forsyth

Fulton Watson Copp Chair in Computer Science

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

David Alexander Forsyth is currently serving as a Siebel School Of Computing And Data Science Fulton Watson Copp Chair in Computer Science at Uiuc.

Honors

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Experiences

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Education

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David Alexander Forsyth

UIUC

Fulton Watson Copp Chair in Computer Science

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computer vision computer science image representation image analysis machine vision data science machine learning pattern recognition computer graphics digital image processing graphics multimedia modeling multimedia retrieval multimedia information processing machine learning research object recognition computational imaging geometric modeling computational geometry applied mathematics motion analysis image retrieval object detection realistic rendering motion capture scene understanding synthetic image generation dance robot learning knowledge discovery vision language model semantic evaluation image communication computer-aided design text-to-image retrieval scene modeling image classification content-based image retrieval vision recognition human pose estimation image search 3d pose estimation motion synthesis illumination modeling information visualization feature learning 3d computer vision 3d object recognition shape modeling multimedia computing shape analysis information fusion image similarity object categorization visual computing structure from motion object tracking character animation multi-view geometry motion capture data adversarial machine learning projective invariants image collections human motion building models word prediction visual information spatial layout naked people depth maps face image news images automatic system adversarial examples diverse colorization computational studies optical image recognition computational intelligence

Notable Scholarly Works

Notable Federal Grants

Collaborators

Denoising Monte Carlo Renders With Diffusion Models. 2021 International Conference on 3D Vision (3DV) (2025)

Vaibhav VavilalaRahul VasanthDavid Forsyth

scientific computingmonte carlo rendersmonte carlo methodsdiffusion-based modelingmonte carlodiffusionbayesian analysisstochastic processapplied mathematics

How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Aditya PrakashBenjamin LundellDmitry AndreychukDavid ForsythSaurabh GuptaHarpreet Sawhney

designkinesiologyinteraction designdancehuman-computer interactioncomputer graphicsdexterous manipulation3d user interactionuser interfaceshand motiongesture recognitionhuman robot interactioneveryday interactionsphysical prototyping

URBANIR: Large-Scale Urban Scene Inverse Rendering From a Single Video. 2021 International Conference on 3D Vision (3DV) (2025)

Chih-Hao LinBohan LiuYi-Ting ChenKuan-Sheng ChenDavid ForsythJia-Bin HuangAnand BhattadShenlong Wang

computational imaginggraphicssingle videocomputer graphicsmultimedia retrievalscene analysisdifferentiable renderingcomputer visioninverse problemsmachine visionvideo hallucinationimage analysisfilmmultimedia modelingimage representationscene understandingscene modelingmultimedia information processing

Acdg-Vton: Accurate and Contained Diffusion Generation for Virtual Try-On. arXiv (Cornell University) (2024)

Zhang, JeffreyLi, KedanChang, Shao-YuForsyth, David

human image synthesisvirtual try-oncomputer visioncontained diffusion generationmultimedia information processingstyle transferdeep learningsynthetic image generationmachine visiondigital image processingimage analysisscene understandingmultimedia modelingimage representationgenerative adversarial networksmachine learningcontrol imagecomputer science

Controlling Virtual Try-on Pipeline Through Rendering Policies. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Kedan LiJeffrey ZhangShao-Yu ChangDavid Forsyth

virtualization supportgraphicscomputer graphicsvirtual realityrendering policiesgpu virtualization

Denoising Monte Carlo Renders With Diffusion Models. arXiv (Cornell University) (2024)

Vaibhav VavilalaRahul VasanthDavid Forsyth

computational imaginggraphicsmonte carlo renderscomputer graphicsrealistic renderingrender noisediffusion modeldigital image processingimage denoisingapplied mathematicscomputer science

P2D: Plug and Play Discriminator for Accelerating Gan Frameworks. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Min Jin ChongKrishna Kumar SinghYijun LiJingwan LuDavid Forsyth

neural network (machine learning)machine learninggenerative systemsgan frameworksplay discriminatorcomputer visionimplicit regularization schemedeep learningneural computationgenerative aisynthetic image generationmachine learning researchgenerative modelsdata scienceimage representationgenerative adversarial networkscomputer science

Preserving Image Properties Through Initializations in Diffusion Models. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Jeffrey ZhangShao-Yu ChangKedan LiDavid Forsyth

computational imagingimage restorationimage propertiesdiffusiondigital image processingimage analysisapplied mathematics

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't Know Projective Geometry…for Now. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Ayush SarkarHanlin MaiAmitabh MahapatraSvetlana LazebnikD.A. ForsythAnand Bhattad

graphicscomputational geometryprojective geometrygeometryprojective geometry…forgenerative modelslines camathematicsgeometric modeling

SOK: Privacy-Preserving Data Synthesis. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yuzheng HuFan WuQinbin LiYunhui LongGonzalo Munilla GarridoChang GeBolin DingDavid ForsythBo LiDawn Song

privacy-preserving communicationdata privacydata managementdata scienceinformation securitydata securitycomputer scienceprivacy-preserving data synthesis

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David Alexander Forsyth

Fulton Watson Copp Chair in Computer Science

UIUC

Affiliations

The Grainger College of Engineering

Siebel School of Computing and Data Science

David Alexander Forsyth is currently serving as a Siebel School Of Computing And Data Science Fulton Watson Copp Chair in Computer Science at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Alexander Forsyth

UIUC

Fulton Watson Copp Chair in Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Denoising Monte Carlo Renders With Diffusion Models. 2021 International Conference on 3D Vision (3DV) (2025)

Vaibhav VavilalaRahul VasanthDavid Forsyth

scientific computingmonte carlo rendersmonte carlo methodsdiffusion-based modelingmonte carlodiffusionbayesian analysisstochastic processapplied mathematics

How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2025)

Aditya PrakashBenjamin LundellDmitry AndreychukDavid ForsythSaurabh GuptaHarpreet Sawhney

URBANIR: Large-Scale Urban Scene Inverse Rendering From a Single Video. 2021 International Conference on 3D Vision (3DV) (2025)

Chih-Hao LinBohan LiuYi-Ting ChenKuan-Sheng ChenDavid ForsythJia-Bin HuangAnand BhattadShenlong Wang

Acdg-Vton: Accurate and Contained Diffusion Generation for Virtual Try-On. arXiv (Cornell University) (2024)

Zhang, JeffreyLi, KedanChang, Shao-YuForsyth, David

Controlling Virtual Try-on Pipeline Through Rendering Policies. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Kedan LiJeffrey ZhangShao-Yu ChangDavid Forsyth

virtualization supportgraphicscomputer graphicsvirtual realityrendering policiesgpu virtualization

Denoising Monte Carlo Renders With Diffusion Models. arXiv (Cornell University) (2024)

Vaibhav VavilalaRahul VasanthDavid Forsyth

computational imaginggraphicsmonte carlo renderscomputer graphicsrealistic renderingrender noisediffusion modeldigital image processingimage denoisingapplied mathematicscomputer science

P2D: Plug and Play Discriminator for Accelerating Gan Frameworks. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Min Jin ChongKrishna Kumar SinghYijun LiJingwan LuDavid Forsyth

Preserving Image Properties Through Initializations in Diffusion Models. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Jeffrey ZhangShao-Yu ChangKedan LiDavid Forsyth

computational imagingimage restorationimage propertiesdiffusiondigital image processingimage analysisapplied mathematics

Shadows Don't Lie and Lines Can't Bend! Generative Models Don't Know Projective Geometry…for Now. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Ayush SarkarHanlin MaiAmitabh MahapatraSvetlana LazebnikD.A. ForsythAnand Bhattad

graphicscomputational geometryprojective geometrygeometryprojective geometry…forgenerative modelslines camathematicsgeometric modeling

SOK: Privacy-Preserving Data Synthesis. 2022 IEEE Symposium on Security and Privacy (SP) (2024)

Yuzheng HuFan WuQinbin LiYunhui LongGonzalo Munilla GarridoChang GeBolin DingDavid ForsythBo LiDawn Song

privacy-preserving communicationdata privacydata managementdata scienceinformation securitydata securitycomputer scienceprivacy-preserving data synthesis

1
2
3
4
5
28
10 / page