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We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks.
Finite-time convergent gradient flows with applications to network consensus
Jorge Cortés · 2006
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Construction and optimal search of interpolated motion graphs
Alla Safonova and Jessica K. Hodgins · 2007
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric A Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Training deep nets with sublinear memory cost
Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin · 2016
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Language2pose: Natural language grounded pose forecasting
Chaitanya Ahuja and Louis-Philippe Morency · 2019
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AttGAN: Facial attribute editing by only changing what you want
Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
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Analyzing and improving the image quality of StyleGAN
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2019
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Dancing to music
Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, and Jan Kautz · 2019
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Amass: Archive of motion capture as surface shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F Troje, Gerard Pons-Moll, and Michael J Black · 2019
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Revisiting normalized gradient descent: Fast evasion of saddle points
Ryan Murray, Brian Swenson, and Soummya Kar · 2019
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Expressive body capture: 3d hands, face, and body from a single image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed AA Osman, Dimitrios Tzionas, and Michael J Black · 2019
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Convolutional sequence generation for skeleton-based action synthesis
Sijie Yan, Zhizhong Li, Yuanjun Xiong, Huahan Yan, and Dahua Lin · 2019
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Action2motion: Conditioned generation of 3d human motions
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng · 2020
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Robust motion in-betweening
Félix G Harvey, Mike Yurick, Derek Nowrouzezahrai, and Christopher Pal · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Convolutional autoencoders for human motion infilling
Manuel Kaufmann, Emre Aksan, Jie Song, Fabrizio Pece, Remo Ziegler, and Otmar Hilliges · 2020
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Perpetual motion: Generating unbounded human motion
Yan Zhang, Michael J Black, and Siyu Tang · 2020
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Bayesian adversarial human motion synthesis
Rui Zhao, Hui Su, and Qiang Ji · 2020
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ILVR: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
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Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alex Nichol · 2021
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Single-shot motion completion with transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, and Yi Yuan · 2021
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2021
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DiffWave: A versatile diffusion model for audio synthesis
Zhifeng Kong, Wei Ping, Jiaji Huang, Kexin Zhao, and Bryan Catanzaro · 2021
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Ai choreographer: Music conditioned 3d dance generation with aist++
Ruilong Li, Shan Yang, David A Ross, and Angjoo Kanazawa · 2021
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Action-conditioned 3d human motion synthesis with transformer vae
Mathis Petrovich, Michael J Black, and Gül Varol · 2021
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Grad-TTS: A diffusion probabilistic model for Text-to-Speech
Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, and Mikhail Kudinov · 2021
Cited alongside, same era.
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
Cited alongside, same era.
HuMoR: 3D human motion model for robust pose estimation
Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, and Leonidas J Guibas · 2021
Cited alongside, same era.
Image Super-Resolution via iterative refinement
Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
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Edge: Editable dance generation from music
Jonathan Tseng, Rodrigo Castellon, and C Karen Liu · 2022
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Novel view synthesis with diffusion models
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, and Mohammad Norouzi · 2022
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Saga: Stochastic whole-body grasping with contact
Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, and Siyu Tang · 2022
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Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, and Feng Xu · 2022
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Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J Fleet, and Mohammad Norouzi · 2021
Cited alongside, same era.
Synthesizing long-term 3d human motion and interaction in 3d scenes
Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, and Xiaolong Wang · 2021
Cited alongside, same era.
Learning motion priors for 4d human body capture in 3d scenes
Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, and Siyu Tang · 2021
Cited alongside, same era.
Listen, denoise, action! audio-driven motion synthesis with diffusion models
Simon Alexanderson, Rajmund Nagy, Jonas Beskow, and Gustav Eje Henter · 2022
Cited alongside, same era.
eDiff-I: Text-to-Image diffusion models with an ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, and Ming-Yu Liu · 2022
Cited alongside, same era.
Improving diffusion models for inverse problems using manifold constraints
Hyungjin Chung, Byeongsu Sim, Dohoon Ryu, and Jong Chul Ye · 2022
Cited alongside, same era.
Generating diverse and natural 3D human motions from text
Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng · 2022
Cited alongside, same era.
Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, and Jan Kautz · 2022
Later among the works it cites.
Motiondiffuse: Text-driven human motion generation with diffusion model
Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu · 2022
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InstructPix2Pix: Learning to follow image editing instructions
T Brooks, A Holynski, and A A Efros · 2023
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Executing your commands via motion diffusion in latent space
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, and Gang Yu · 2023
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Avatars grow legs: Generating smooth human motion from sparse tracking inputs with diffusion model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, and Artsiom Sanakoyeu · 2023
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Diffusion-based generation, optimization, and planning in 3d scenes
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, and Song-Chun Zhu · 2023
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An edit friendly DDPM noise space: Inversion and manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, and Tomer Michaeli · 2023
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2023
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Guided motion diffusion for controllable human motion synthesis
Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, and Siyu Tang · 2023
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Ego-Body pose estimation via Ego-Head pose estimation
Jiaman Li, Karen Liu, and Jiajun Wu · 2023
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Drag your gan: Interactive point-based manipulation on the generative image manifold
Xingang Pan, Ayush Tewari, Thomas Leimkühler, Lingjie Liu, Abhimitra Meka, and Christian Theobalt · 2023
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Human motion diffusion model
Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-Or, and Amit H Bermano · 2023
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EDICT: Exact diffusion inversion via coupled transformations
Bram Wallace, Akash Gokul, and Nikhil Naik · 2023
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Freedom: Training-free energy-guided conditional diffusion model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, and Jian Zhang · 2023
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DPM-Solver-v3: Improved diffusion ODE solver with empirical model statistics
Kaiwen Zheng, Cheng Lu, Jianfei Chen, and Jun Zhu · 2023
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Directly Fine-Tuning diffusion models on differentiable rewards
Kevin Clark, Paul Vicol, Kevin Swersky, and David J Fleet · 2024
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InstaFlow: One step is enough for High-Quality Diffusion-Based Text-to-Image generation
Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, and Qiang Liu · 2024
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Human motion diffusion as a generative prior
Yonatan Shafir, Guy Tevet, Roy Kapon, and Amit H Bermano · 2024
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OmniControl: Control any joint at any time for human motion generation
Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, and Huaizu Jiang · 2024
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