Avatarclip: Zero-shot text-driven generation and animation of 3d avatars
3D avatar creation plays a crucial role in the digital age. However, the whole production
process is prohibitively time-consuming and labor-intensive. To democratize this technology …
process is prohibitively time-consuming and labor-intensive. To democratize this technology …
Synthesizing diverse human motions in 3d indoor scenes
We present a novel method for populating 3D indoor scenes with virtual humans that can
navigate in the environment and interact with objects in a realistic manner. Existing …
navigate in the environment and interact with objects in a realistic manner. Existing …
Motiongpt: Finetuned llms are general-purpose motion generators
Generating realistic human motion from given action descriptions has experienced
significant advancements because of the emerging requirement of digital humans. While …
significant advancements because of the emerging requirement of digital humans. While …
Flag: Flow-based 3d avatar generation from sparse observations
To represent people in mixed reality applications for collaboration and communication, we
need to generate realistic and faithful avatar poses. However, the signal streams that can be …
need to generate realistic and faithful avatar poses. However, the signal streams that can be …
The wanderings of odysseus in 3d scenes
Our goal is to populate digital environments, in which digital humans have diverse body
shapes, move perpetually, and have plausible body-scene contact. The core challenge is to …
shapes, move perpetually, and have plausible body-scene contact. The core challenge is to …
Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results
This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
Social Behavior in Dyadic and Small Group Interactions (DYAD), which featured two tracks …
MoCapAct: A multi-task dataset for simulated humanoid control
Simulated humanoids are an appealing research domain due to their physical capabilities.
Nonetheless, they are also challenging to control, as a policy must drive an unstable …
Nonetheless, they are also challenging to control, as a policy must drive an unstable …
Multi-scale control signal-aware transformer for motion synthesis without phase
Synthesizing controllable motion for a character using deep learning has been a promising
approach due to its potential to learn a compact model without laborious feature …
approach due to its potential to learn a compact model without laborious feature …
[PDF][PDF] Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios Supplementary Material
In all architectures tested, a first embedding layer transformed the input coordinates and
offsets from all landmarks into an intermediate representation vector of size 512 by means of …
offsets from all landmarks into an intermediate representation vector of size 512 by means of …
Learning disentangled representations for controllable human motion prediction
Generative model-based motion prediction techniques have recently realized predicting
controlled human motions, such as predicting multiple upper human body motions with …
controlled human motions, such as predicting multiple upper human body motions with …