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Predicting the dynamics of interacting objects is essential for both humans and intelligent systems.
Image Quality Assessment: From error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Motion magnification
Ce Liu, Antonio Torralba, William T. Freeman, Frédo Durand, and Edward H. Adelson · 2005
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Galileo: Perceiving physical object properties by integrating a physics engine with deep learning
Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman, and Joshua B. Tenenbaum · 2015
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Interaction networks for learning about objects, relations and physics
Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, et al · 2016
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Learning physical intuition of block towers by example
Adam Lerer, Sam Gross, and Rob Fergus · 2016
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Physics 101: Learning physical object properties from unlabeled videos
Jiajun Wu, Joseph J. Lim, Hongyi Zhang, Joshua B. Tenenbaum, and William T. Freeman · 2016
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Realtime multi-person 2D pose estimation using part affinity fields
Zhe Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh · 2017
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The something something video database for learning and evaluating visual common sense
Raghav Goyal, Samira Ebrahimi Kahou, Vincent Michalski, Joanna Materzynska, Susanne Westphal, Heuna Kim, Valentin Haenel, Ingo Fruend, Peter Yianilos, Moritz Mueller-Freitag, et al · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Visual Interaction Networks: Learning a physics simulator from video
Nicholas Watters, Daniel Zoran, Theophane Weber, Peter Battaglia, Razvan Pascanu, and Andrea Tacchetti · 2017
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Learning to see physics via visual de-animation
Jiajun Wu, Erika Lu, Pushmeet Kohli, Bill Freeman, and Josh Tenenbaum · 2017
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Demystifying MMD GANs
Mikołaj Bińkowski, Danica J. Sutherland, Michael Arbel, and Arthur Gretton · 2018
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ShapeStacks: Learning vision-based physical intuition for generalised object stacking
Oliver Groth, Fabian B. Fuchs, Ingmar Posner, and Andrea Vedaldi · 2018
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Neural relational inference for interacting systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, and Richard Zemel · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, and Cordelia Schmid · 2019
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Real-time pose and shape reconstruction of two interacting hands with a single depth camera
Franziska Mueller, Micah Davis, Florian Bernard, Oleksandr Sotnychenko, Mickeal Verschoor, Miguel A. Otaduy, Dan Casas, and Christian Theobalt · 2019
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FVD: A new metric for video generation
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, and Sylvain Gelly · 2019
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CoPhy: Counterfactual learning of physical dynamics
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, and Christian Wolf · 2020
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GanHand: Predicting human grasp affordances in multi-object scenes
Enric Corona, Albert Pumarola, Guillem Alenya, Francesc Moreno-Noguer, and Grégory Rogez · 2020
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Disentangling physical dynamics from unknown factors for unsupervised video prediction
Vincent Le Guen and Nicolas Thome · 2020
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Causal discovery in physical systems from videos
Yunzhu Li, Antonio Torralba, Anima Anandkumar, Dieter Fox, and Animesh Garg · 2020
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Layered neural rendering for retiming people in video
Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, and Michael Rubinstein · 2020
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Something-Else: Compositional action recognition with spatial-temporal interaction networks
Joanna Materzynska, Tete Xiao, Roei Herzig, Huijuan Xu, Xiaolong Wang, and Trevor Darrell · 2020
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GRAB: A dataset of whole-body human grasping of objects
Omid Taheri, Nima Ghorbani, Michael J. Black, and Dimitrios Tzionas · 2020
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CLEVRER: Collision events for video representation and reasoning
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, and Joshua B. Tenenbaum · 2020
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DexYCB: A benchmark for capturing hand grasping of objects
Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj S. Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, et al · 2021
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Towards unconstrained joint hand-object reconstruction from RGB videos
Yana Hasson, Gül Varol, Cordelia Schmid, and Ivan Laptev · 2021
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Hand-object contact consistency reasoning for human grasps generation
Hanwen Jiang, Shaowei Liu, Jiashun Wang, and Xiaolong Wang · 2021
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Omnimatte: Associating objects and their effects in video
Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, and Michael Rubinstein · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Toward human-like grasp: Dexterous grasping via semantic representation of object-hand
Tianqiang Zhu, Rina Wu, Xiangbo Lin, and Yi Sun · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Text2HOI: Text-guided 3D motion generation for hand-object interaction
Junuk Cha, Jihyeon Kim, Jae Shin Yoon, and Seungryul Baek · 2024
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CG-HOI: Contact-guided 3D human-object interaction generation
Christian Diller and Angela Dai · 2024
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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HOLD: Category-agnostic 3D reconstruction of interacting hands and objects from video
Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Xu Chen, Muhammed Kocabas, Michael J. Black, and Otmar Hilliges · 2024
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Physically grounded vision-language models for robotic manipulation
Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, and Dorsa Sadigh · 2024
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Filtered-CoPhy: Unsupervised learning of counterfactual physics in pixel space
Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, and Christian Wolf · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Embodied hands: Modeling and capturing hands and bodies together
Javier Romero, Dimitrios Tzionas, and Michael J. Black · 2022
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StyleGAN-V: A continuous video generator with the price, image quality and perks of StyleGAN2
Ivan Skorokhodov, Sergey Tulyakov, and Mohamed Elhoseiny · 2022
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Collaborative learning for hand and object reconstruction with attention-guided graph convolution
Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, and Hyung Jin Chang · 2022
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I2V-Adapter: A general image-to-video adapter for diffusion models
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CoTracker3: Simpler and better point tracking by pseudo-labelling real videos
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Beyond the Contact: Discovering comprehensive affordance for 3D objects from pre-trained 2D diffusion models
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UGG: Unified generative grasping
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ActAnywhere: Subject-aware video background generation
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SAM 2: Segment anything in images and videos
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Controlling the world by sleight of hand
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Template free reconstruction of human-object interaction with procedural interaction generation
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Space-time diffusion features for zero-shot text-driven motion transfer
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HOIDiffusion: Generating realistic 3D hand-object interaction data
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GEARS: Local geometry-aware hand-object interaction synthesis
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3D whole-body grasp synthesis with directional controllability
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SV3D: Novel multi-view synthesis and 3D generation from a single image using latent video diffusion
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DragAnything: Motion control for anything using entity representation
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DynamiCrafter: Animating open-domain images with video diffusion priors
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