In-depth look at our work.
Conference: European Conference on Computer Vision (ECCV 2024)
Authors:Marko Mihajlovic, Sergey Prokudin, Siyu Tang, Robert Maier, Federica Bogo, Tony Tung, Edmond Boyer
SplatFields regularizes 3D gaussian splats for sparse 3D and 4D reconstruction.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Authors:Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang
DOMA is an implicit motion field modeled by a spatiotemporal SIREN network. The learned motion field can predict how novel points move in the same field.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Authors:Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan, Thabo Beeler, Supasorn Suwajanakorn, Siyu Tang
Diffusion Noise Optimization (DNO) can leverage the existing human motion diffusion models as universal motion priors. We demonstrate its capability in the motion editing tasks where DNO can preserve the content of the original model and accommodates a diverse range of editing modes, including changing trajectory, pose, joint location, and avoiding newly added obstacles.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024) oral presentation
Authors:Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu, Alexander Winkler, Petr Kadlecek, Siyu Tang, Federica Bogo
Conditioned on noisy and occluded input data, RoHM reconstructs complete, plausible motions in consistent global coordinates.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024) oral presentation
Authors:Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai Dusmanu, Yan Zhang, Marc Pollefeys, Siyu Tang
EgoGen is new synthetic data generator that can produce accurate and rich ground-truth training data for egocentric perception tasks.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Authors:Shaofei Wang , Božidar Antić , Andreas Geiger , Siyu Tang
IntrinsicAvatar learns relightable and animatable avatars from monocular videos, without any data-driven priors.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Authors:Xiyi Chen , Marko Mihajlovic , Shaofei Wang , Sergey Prokudin , Siyu Tang
We introduce a morphable diffusion model to enable consistent controllable novel view synthesis of humans from a single image. Given a single input image and a morphable mesh with a desired facial expression, our method directly generates 3D consistent and photo-realistic images from novel viewpoints, which we could use to reconstruct a coarse 3D model using off-the-shelf neural surface reconstruction methods such as NeuS2.Conference: Conference on Computer Vision and Pattern Recognition (CVPR 2024)
Authors:Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang
Given a monocular video, 3DGS-Avatar learns clothed human avatars that model pose-dependent appearance and generalize to out-of-distribution poses, with short training time and interactive rendering frame rate.Here’s what we've been up to recently.
We have seven papers accepted at CVPR 2024:RoHM: Robust Human Motion Reconstruction via Diffusion (oral presentation)EgoGen: An Egocentric Synthetic Data Generator (oral presentation)DNO: Optimizing Diffusion Noise Can Serve As Universal Motion PriorsMorphable Diffusion: 3D-Consistent Diffusion for...
We have five papers accepted at ICCV 2023:Dynamic Point Fields: Towards Efficient and Scalable Dynamic Surface Representations (oral presentation)EgoHMR: Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views (oral presentation)GMD: Controllable Human Motion Synthesis via Guided...
