267 citations · 377 across the 12 of their papers we have counts for
14 papers
HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations
Sadegh Aliakbarian, Fatemeh Saleh, David Collier +2
Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios. Head-Mounted Devices (HMDs) typically…
Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views
Siwei Zhang, Qianli Ma, Yan Zhang +3
Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component is estimation of plausible 3D human pose and shape…
Imitator: Personalized Speech-driven 3D Facial Animation
Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian +3
Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods de…
DynaDog+T: A Parametric Animal Model for Synthetic Canine Image Generation
Jake Deane, Sinead Kearney, Kwang In Kim +1
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D…
EmoGen: Quantifiable Emotion Generation and Analysis for Experimental Psychology
Nadejda Roubtsova, Martin Parsons, Nicola Binetti +3
3D facial modelling and animation in computer vision and graphics traditionally require either digital artist's skill or complex pipelines with objective-function-based solvers to…
RGBD-Dog: Predicting Canine Pose from RGBD Sensors
Sinead Kearney, Wenbin Li, Martin Parsons +2
The automatic extraction of animal \reb{3D} pose from images without markers is of interest in a range of scientific fields. Most work to date predicts animal pose from RGB images,…