Carnegie Mellon Computer Graphics (original) (raw)

Carnegie Mellon Graphics at SIGGRAPH Asia 2024

1 December 2024

News Carnegie Mellon Graphics members have co-authored 12 papers presented at SIGGRAPH Asia 2024. 3D Reconstruction with Fast Dipole SumsHanyu Chen, Bailey Miller, Ioannis Gkioulekas Barrier-Augmented Lagrangian for GPU-based Elastodynamic ContactDewen Guo, Minchen Li, Yin Yang, Sheng Li, Guoping Wang Consolidating Attention Features for Multi-view Image EditingOr Patashnik, Rinon Gal, Daniel Cohen-Or, Jun-Yan Zhu, Fernando De la Torre Customizing Text-to-Image Diffusion with Object Viewpoint ControlNupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu Customizing Text-to-Image Models with a Single Image PairMaxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu Differential Walk on SpheresBailey Miller, Rohan Sawhney, Keenan Crane, Ioannis Gkioulekas FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild ImagesCheng Zhang*, Yuanhao Wang*, Francisco Vicente Carrasco, Chenglei Wu, Jinlong Yang, Thabo Beeler, Fernando De la Torre I❤️MESH: A DSL for Mesh ProcessingYong Li, Shoaib Kamil, Keenan Crane, Alec Jacobson, Yotam Gingold NeRF-Casting: Improved View-Dependent Appearance with Consistent ReflectionsDor Verbin, Pratul P. Srinivasan, Peter Hedman, Ben Mildenhall, Benjamin Attal, Richard Szeliski, Jonathan T. Barron PuzzleAvatar: Assembling 3D Avatars from Personal AlbumsYuliang Xiu, Yufei Ye, Zhen Liu, Dimitrios Tzionas, Michael J. Black Taming 3DGS: High-Quality Radiance Fields with Limited ResourcesSaswat Subhajyoti Mallick*, Rahul Goel*, Bernhard Kerbl, Francisco Vicente Carrasco, Markus Steinberger, Fernando De la Torre UFO Instruction Graphs Are Machine KnittableJenny Lin, Yuka Ikarashi, Gilbert Bernstein, Jim McCann

Jun-Yan Zhu Named Samsung AI Researcher of the Year

11 November 2024

News Jun-Yan has been selected as a 2024 Samsung AI Researcher of the Year. The AI Researcher of the Year program recognizes five promising researchers under 35 who have made outstanding contributions to artificial intelligence research. Each recipient receives $30,000 in prize money. Jun-Yan works at the intersection of computer vision, computer graphics, and machine learning. He leads the Generative Intelligence Lab, with the mission of enabling the collaboration between human creators and generative models. This human-centered, generative modeling approach can empower creators with generative AI while retaining control over the creation process and data ownership.

Minchen Li Receives 2024 SCA Early Career Researcher Award

24 August 2024

News The 23rd ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA 2024) Early Career Researcher Award is presented to Minchen in recognition of his contributions to enhancing the robustness, efficiency, and fidelity of physics-based animation techniques. His work on adaptive discretization and data-driven simulation has significantly advanced the field, with broad applications in computer animation, virtual reality, computational mechanics, and robotics.

Award-Winning CMU Papers at SIGGRAPH 2024

24 June 2024

News Carnegie Mellon's research is well-represented at SIGGRAPH 2024, with Carnegie Mellon authors collaborating on 13 papers, including two best papers (🏆) and two honorable mentions (🏅) in the SIGGRAPH Technical Papers Awards . A Dynamic Duo of Finite Elements and Material Points Xuan Li, Minchen Li, Xuchen Han, Huamin Wang, Yin Yang, and Chenfanfu Jiang A Heat Method for Generalized Signed Distance Nicole Feng and Keenan Crane AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion Mohamad Qadri*, Kevin Zhang*, Akshay Hinduja, Michael Kaess, Adithya Pediredla, and Christopher Metzler Aperture-aware lens design Arjun Teh, Ioannis Gkioulekas, and Matthew O'Toole I♥Mesh: A DSL for Mesh Processing Yong Li, Shoaib Kamil, Keenan Crane, Alec Jacobson, and Yotam Gingold Minkowski Penalties: Robust Differentiable Constraint Enforcement for Vector GraphicsJiří Minarčík, Sam Estep, Wode Ni, and Keenan Crane Ray Tracing Harmonic Functions (honorable mention 🏅)Mark Gillespie, Denise Yang, Mario Botsch, and Keenan Crane Repulsive Shells (best paper 🏆)Josua Sassen, Henrik Schumacher, Martin Rumpf, and Keenan Crane Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion ModelsZhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, and Martial Hebert Solid Knitting (honorable mention 🏅)Yuichi Hirose, Mark Gillespie, Angelica M. Bonilla Fominaya, and James McCann Strategy and Skill Learning for Physics-based Table Tennis Animation Jiashun Wang, Jessica Hodgins, and Jungdam Won VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual RealityYing Jiang*, Chang Yu*, Tianyi Xie*, Xuan Li*, Yutao Feng, Huamin Wang, Minchen Li, Henry Lau, Feng Gao, Yin Yang, and Chenfanfu Jiang Walkin' Robin: Walk on Stars with Robin Boundary Conditions (best paper 🏆)Bailey Miller*, Rohan Sawhney*, Keenan Crane†, and Ioannis Gkioulekas† In the author lists above, * and † indicate equal contribution.

CVPR 2024 Best Student Paper Honorable Mention Award

18 June 2024


ICRA 2024 Best Paper on Human-Robot Interaction

20 May 2024


Jun-Yan Zhu Named Packard Fellow

20 October 2023

News Jun-Yan was named a 2023 Packard Fellow for his work with Generative AI. Jun-Yan's work emphasizes new ways for creators to collaborate with generative models, while retaining control over the creative process and receiving proper compensation. His group has led several initiatives such as Concept Ablation, which can remove copyrighted materials and artworks of living artists from existing models, and Data Attribution, designed to facilitate compensation for creators whose work has been used in model training. The Packard Fellowship for Science and Engineering is the largest award given to young faculty in STEM fields, and is widely regarded as one of the most prestigious awards given to junior faculty members. An advisory panel of distinguished scientists and engineers carefully reviews the nominations and selects 20 fellows to receive an award of $875,000, distributed over five years, to allow the nation’s most promising early-career scientists and engineers flexible funding to take risks and explore new frontiers in their fields of study. Among the eight Packard Fellows currently at CMU, three are faculty members of the Graphics Lab, including previous awardees Jessica K. Hodgins (1994) and Keenan Crane (2018). Congratulations, Jun-Yan!

SIGGRAPH 2023 Best Paper Award

1 August 2023


CVPR 2022 Best Paper Honorable Mention

17 August 2022

News CMU Graphics members Mark Sheinin, Dorian Chan, Matthew O'Toole, and Srinivasa Narasimhan won CVPR 2022 Best Paper Honorable Mention for their work Dual-Shutter Optical Vibration Sensing. Check out the project webpage for details: https://imaging.cs.cmu.edu/vibration/

Ioannis Gkioulekas Receives NSF CAREER Award

17 April 2021

News Yannis has received the National Science Foundation CAREER award. This is the NSF's most prestigious award which recognizes early-career faculty who lead advances in their fields and serve as positive role models in research and education. Yannis' CAREER award emphasizes computational interferometric imaging, which provides new imaging capabilities critical for applications in medical imaging, industrial fabrication, and material sciences.

CMU Graphics Papers at SIGGRAPH Asia 2020

21 September 2020

News CMU Graphics will be at SIGGRAPH Asia 2020! Path Tracing Estimators for Refractive Radiative TransferAdithya Pediredla, Yasin Karimi Chalmiani, Matteo Giuseppe Scopelliti, Maysam Chamanzar, Srinivasa Narasimhan, and Ioannis Gkioulekas Rendering Near-Field Speckle Statistics in Scattering MediaChen Bar, Ioannis Gkioulekas, and Anat Levin Repulsive CurvesChris Yu, Henrick Schumacher, Keenan Crane You Can Find Geodesic Paths in Triangle Meshes by Just Flipping EdgesNicholas Sharp, Keenan Crane

SGP 2020 Best Paper Award

1 August 2020


CMU Graphics at SIGGRAPH 2020

25 May 2020

News Keep an eye out for these CMU Graphics papers at SIGGRAPH 2020! Interferometric Transmission Probing With Coded Mutual IntensityAlankar Kotwal, Anat Levin, Technion, Ioannis Gkioulekas KRISM – Krylov Subspace-Based Optical Computing of Hyperspectral ImagesVishwanath Saragadam, Aswin Sankaranarayanan Langevin Monte Carlo Rendering With Gradient-Based AdaptationFujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas Monte Carlo Geometry Processing: A Grid-Free Approach to PDE-Based Methods on Volumetric DomainsRohan Sawhney, Keenan Crane Path-Space Differentiable RenderingCheng Zhang, Bailey Miller, Kai Yan, Ioannis Gkioulekas, Shuang Zhao Penrose: From Mathematical Notation to Beautiful DiagramsKatherine Ye, Wode Ni, Max Krieger, Dor Ma’ayan, Jenna Wise, Jonathan Aldrich, Joshua Sunshine, Keenan Crane Towards Occlusion-Aware Multifocal DisplaysJen-Hao Rick Chang, Anat Levin, B. V. K. Vijaya, Kumar, Aswin C. Sankaranarayanan

ICCP 2020 Best Paper Honorable Mention Award

26 April 2020


Keenan Crane Receives NSF CAREER Award

20 March 2020

News Keenan has received the 2020 National Science Foundation CAREER award. This is the NSF's most prestigious award which recognizes early-career faculty who lead advances in their fields and serve as positive role models in research and education. Keenan's works is in Discrete Differential Geometry which builds fundamental representations and practical algorithms for processing and analyzing real-world geometric data by leveraging insights from differential geometry. Read more about it here.

Ioannis Gkioulekas Named Sloan Research Fellow

12 February 2020

News The Sloan Foundation has named Ioannis Gkioulekas as a 2020 Sloan Research Fellow. The Sloan Research Fellowship highlights the contributions of early-career scientists and scholars who demonstrate outstanding promise in fundamental research. Gkioulekas' interests are in computational imaging, computer vision, and computer graphics. His work focuses on non-line-of-sight imaging which enables the imaging of objects obstructed by corners or scattering materials. Read more about it here.

CVPR 2019 Best Paper Award

20 June 2019

News CMU Graphics members Shumian Xin, Ioannis Gkioulekas, and Srinivasa Narasimhan, CMU ECE Professor Aswin Sankaranarayanan, and collaborators from U. Toronto won CVPR 2019 Best Paper Award forA theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction. Their paper was selected out of roughly 5000 submitted papers. The awards committee described the paper: “this paper makes significant advances in non-line-of-sight reconstruction — in essence the ability to see around corners. It is a beautiful paper theoretically, as well as inspiring. It continues to push the boundaries of what is possible in computer vision.”

CMU Graphics at SIGGRAPH 2019

16 May 2019

News Lots of amazing work from CMU Graphics to appear at SIGGRAPH 2019—check it out! Visual Knitting Machine ProgrammingVidya Narayanan*, Kui Wu*, Cem Yuksel, Jim McCann Navigating Intrinsic TriangulationsNicholas Sharp, Yousuf Soliman, Keenan Crane Symmetric Moving FramesEtienne Corman, Keenan Crane The Vector Heat MethodNicholas Sharp, Yousuf Soliman, Keenan Crane A Monte Carlo Framework for Rendering Speckle Statistics in Scattering MediaChen Bar, Marina Alterman, Ioannis Gkioulekas, Anat Levin Ellipsoidal Path Connections for Time-gated RenderingAdithya Pediredla, Ashok Veeraraghavan, and Ioannis Gkioulekas Wave-based Non-Line-of-Sight Imaging using Fast f-k MigrationDavid B. Lindell, Gordon Wetzstein, Matthew O'Toole Non-Line-of-Sight Imaging with Partial Occluders and Surface NormalsFelix Heide, Matthew O'Toole, Kai Zang, David B. Lindell, Steven Diamond, Gordon Wetzstein Neural Volumes: Learning Dynamic Renderable Volumes From ImagesStephen Lombardi, Tomas Simon, Jason Saragih, Gabriel Schwartz, Andreas Lehrmann, Yaser Sheikh VR Facial Animation via Multiview Image TranslationShih-En Wei, Jason Saragih, Tomas Simon, Adam W. Harley, Stephen Lombardi, Michal Perdoch, Alexander Hypes, Dawei Wang, Hernan Badino, Yaser Sheikh

Katherine Ye Named MSR PhD Fellow

18 March 2019

News Katherine Ye has been named a 2019 Microsoft Research PhD Fellow. She joins 10 students nationwide whose PhD research will be supported by MSR for the next two years. Katherine's work is making it possible to automatically turn plain-text mathematical equations into beautiful diagrams—find out more at http://penrose.ink. Congrats Katherine!

Jessica Hodgins Named ACM Fellow

18 December 2018

News Our very own Jessica Hodgins has been named an ACM Fellow for her contributions to character animation, human simulation and humanoid robotics. The ACM Fellowship recognizes excellence, as evidenced by technical, professional and leadership contributions that advance computing, promote the free exchange of ideas, and advance the objectives of ACM. Read all about Jessica's award here. Congrats Jessica!

Keenan Crane Named Packard Fellow

15 October 2018

News Keenan Crane has been named a 2018 Packard Fellow. The Packard Fellowships in Science and Engineering are among the nation’s largest nongovernmental fellowships, supporting blue-sky thinking of scientists and engineers in the hopes that their research will lead to new discoveries that improve people’s lives and enhance our understanding of the universe. Crane's work explores how the shapes and motions we observe in nature can be faithfully expressed in a language that is completely finite and discrete, and can hence be understood by computers. Read more about it here.

CMU Graphics at SIGGRAPH 2018

4 August 2018

News We'll be presenting a bunch of new work at SIGGRAPH 2018. Take a look! Variational Surface CuttingNick Sharp, Keenan Crane (Carnegie Mellon University) Developability of Triangle MeshesOded Stein, Eitan Grinspun (Columbia University), Keenan Crane (Carnegie Mellon University) Boundary First FlatteningRohan Sawhney Keenan Crane (Carnegie Mellon University) Optimal Cone Singularities for Conformal FlatteningYousuf Soliman, Dejan Slepcev, Keenan Crane (Carnegie Mellon University) Rapid Deployment of Curved Surfaces via Programmable AuxeticsMina Konakovic (EPFL), Julian Panetta (New York University), Keenan Crane (Carnegie Mellon University), Mark Pauly (EPFL) Learning Basketball Dribbling Skills Using Trajectory Optimization and Deep Reinforcement LearningLibin Liu (DeepMotion Inc.), Jessica Hodgins (Carnegie Mellon University) Skaterbots: Optimization-Based Design and Motion Synthesis for Robotic Creatures with Legs and WheelsMoritz Geilinger, Roi Poranne (ETH Zurich), Ruta Desai (Carnegie Mellon University), Bernhard Thomaszewski (Universite de Montreal), Stelian Coros (ETH Zurich) Automatic Machine Knitting of 3D MeshesVidya Narayanan, Lea Albaugh, Jessica Hodgins, Stelian Coros, Jim McCann (Carnegie Mellon University) Scanner: Efficient Video Analysis at ScaleAlex Poms (Carnegie Mellon University), William Crichton, Pat Hanrahan (Stanford University), Kayvon Fatahalian (Carnegie Mellon University) Slang: Language Mechanisms for Building Extensible Real-time Shading SystemsYong He, Kayvon Fatahalian (Carnegie Mellon University), Tim Foley (NVIDIA Research) Deep Appearance Models for Face RenderingStephen Lombardi, Tomas Simon, Jason Saragih, Yaser Sheikh (Carnegie Mellon University)

Matt O’Toole Joins CMU Graphics!

4 August 2018

News We are very happy to welcome Matthew O'Toole to the CMU Graphics Group. Matt will join us this fall as a faculty member with joint appointments in the Robotics Institute and Computer Science Department; he does fundamental work in computational imaging, a field that combines optics, electronics, and processing in new and interesting ways to capture and display visual information. In particular, he's interested in using programmable lights and cameras to analyze the world around us. Matt received his PhD from the University of Toronto in 2016, and is currently a postdoc at Stanford.Welcome to CMU, Matt!

Jim McCann Joins CMU Graphics Faculty!

11 September 2017

News Jim McCann joins the CMU Graphics Group this fall, as a faculty member in the Robotics Institute. Jim is interested in systems and interfaces that operate in real-time and build user intuition; lately, he has been applying these ideas to textiles fabrication and machine knitting in the Carnegie Mellon Textiles Lab. He obtained his PhD in 2010 in the Graphics Lab, after which he worked at Adobe's Creative Technologies Lab and Disney Research. In his spare time, he makes video games as TCHOW llc.Welcome, Jim!

Jessica Hodgins elected ACM SIGGRAPH President

11 September 2017

News In election results announced August 19th, 2017, Jessica Hodgins was elected SIGGRAPH President. She will begin her three year term on September 1st.If you have ideas on how to improve either the organization or the conference, send them her way. And volunteer -- both the organization and the conference are in need of volunteers.

CMU Graphics at SIGGRAPH 2017

29 July 2017

News This year, nine papers that were authored or co-authored by graphics lab members will be presented at SIGGRAPH 2017: A Computational Design Tool for Compliant MechanismsVittorio Megaro, Jonas Zehnder, Moritz, Baecher, Stelian Coros, Markus Gross, Bernhard Thomaszewski Computational Design of Telescoping StructuresChristopher Yu, Stelian Coros, Keenan Crane Epipolar Time of Flight ImagingSupreeth Achar, Joe Bartels, Red Whittaker, Kyros Kutulakos, Srinivasa G. Narasimhan Learning to Schedule Control Fragments for Physics-based Characters Using Deep Q-LearningLibin Liu, Jessica Hodgins Lightweight Structure Design Under Force Location UncertaintyErva Ulu, Jim McCann, Levent Burak Kara Momentum-mapped Inverted Pendulum Models for Controlling Dynamic Human MotionsTaesoo Kwon, Jessica K. Hodgins Shader Components: Modular and High Performance Shader DevelopmentYong He, Tim Foley, Teguh Hofstee, Haomin Long, Kayvon Fatahalian Interactive Design of Animated PlushiesJames M. Bern, Kai-Hung Chang, Stelian Coros A Deep Learning Approach for Generalized Speech AnimationSarah Taylor, Taehwan Kim, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, Yisong Yue, Iain Matthews

Jessica Hodgins Receives Steven Coons Award

21 June 2017

News At SIGGRAPH this year, Jessica Hodgins will receive the Steven Anson Coons Award, which recognizes long-term creative impact on the field of computer graphics through a personal commitment over an extended period of time. She joins the ranks of other terrific members of our community including Ivan E. Sutherland, Pierre Bézier, Donald P. Greenberg, David C. Evans, Andries van Dam, Edwin Catmull, Jose Encarnação, James D. Foley, James F. Blinn, Lance Williams, Pat Hanrahan, Tomoyuki Nishita, Nelson Max, Rob Cook, Jim Kajiya, Turner Whitted, and Henry Fuchs.Congrats, Jessica!

Graphics Lab Alums win Tech Oscars!

11 February 2017

News Tonight, RI Faculty alum Iain Matthews (right) and his collaborators at Weta will be awarded a plaque for their facial capture system and RI PhD alum Kiran Bhat (left) and his ILM collaborators will get a certificate for their facial capture system.

CMU Graphics Students Clean Up the Lab!

10 February 2017

News In a daring feat of housekeeping the brilliant students comprising the CMU Graphics Lab made the world a little cleaner place.

Two CMU Graphics Students Win Fellowships

31 March 2016


Eight New PhD Students Join CMU Graphics Group!

24 September 2015


CMU Graphics at SIGGRAPH 2015

31 July 2015

News Eight papers co-authored by graphics lab members will be presented at SIGGRAPH 2015 in Los Angeles, CA: Homogeneous Codes for Energy Efficient Illumination and ImagingMatthew O'Toole, Supreeth Achar, Srinivasa Narasimhan, Kiriakos Kutulakos Stripe Patterns on Surfaces _(cover image)_Felix Knoppel, Keenan Crane, Ulrich Pinkall, Peter Schroder Gaze-driven Video Re-editingEakta Jain, Yaser Sheikh, Ariel Shamir, Jessica Hodgins Semantic Shape Editing Using Deformation HandlesM. Ersin Yumer, Siddhartha Chaudhuri, Jessica Hodgins, Levent Burak Kara LinkEdit: Interactive Linkage Editing Using Symbolic KinematicsMoritz Bacher, Stelian Coros, Bernhard Thomaszewski Real-Time Style Transfer for Unlabeled Heterogeneous Human MotionShihong Xia, Congyi Wang, Jinxiang Chai, Jessica Hodgins Design and Fabrication of Flexible Rod MeshesJesus Perez, Bernhard Thomaszewski, Stelian Coros, Bernd Bickel, Jose Canabal, Robert Sumner, Miguel Otaduy A Perceptual Control Space for Garment SimulationLeonid Sigal, Moshe Mahler, Spencer Diaz, Kyna McIntosh, Elizabeth Carter, Timothy Richards, Jessica Hodgins

Recent Press Highlights CMU Graphics “Wizardry”

5 August 2014

News Recent articles feature work appearing at SIGGRAPH 2014:Researchers at Carnegie Mellon University have created a way to manipulate objects in photos in three dimensions, allowing you to see all sides of formerly 2D objects. How is it done? Some might say there is dark magic afoot, but what’s really happening is far more interesting.Here’s how it’s done: an object is selected in an image, be it a chair, an origami crane, or a fireplug. The system matches the object with currently extant 3D models taken from various sources, and then, by connecting the models with the actual objects, they are able to simulate what the object would look like in the photograph. While this database of objects is obviously fairly limited, it does allow for some clever tricks including making taxi cabs in photos flip around to display their undercarriage and then zoom off into space.Read more at New York Times, TechCrunch and R&D Magazine.

Keenan Crane Joins Graphics Faculty

3 August 2014


CMU Papers at SIGGRAPH 2014

29 July 2014

News The CMU Graphics Lab will be presenting the following papers this summer at SIGGRAPH 2014 Self-Refining Games using Player AnalyticsMatt Stanton, Ben Humberstron, Brandon Kase, James O'Brien (UC Berkeley), Kayvon Fatahalian, Adrien Treuille Extending the Graphics Pipeline with Adaptive, Multi-Rate ShadingYong He, Yan Gu, Kayvon Fatahalian 3D Object Manipulation in a Single Photograph using Stock 3D ModelsNatasha Kholgade, Tomas Simon, Alexei Efros (UC Berkeley), Yaser Sheikh Automatic Editing of Footage from Multiple Social CamerasIdo Arev, Hyun Soo Park, Yaser Sheikh, Jessica Hodgins, Ariel Shamir (Ido and Ariel are affiliated with: Interdisciplinary Center Herzliya, Disney Research Pittsburgh)

Katayanagi Prize Winners Announced!

28 July 2013

News Doug James from Cornell University and Pat Hanrahan from Stanford University will visit CMU this Fall to receive the Katayanagi Prizes in Computer Science. Prof. James will give a distinguished lecture Sept. 12th, and Prof. Hanrahan will give a distinguished lecture on Sept 26th. Details will be announced shortly at http://www.cs.cmu.edu/~katayanagi/ Kayvon would like to add that he has been lucky to have some great advisors.