Deep learning-based human pose estimation: A survey
Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
representation (eg, body skeleton) from input data such as images and videos. It has drawn …
Human motion generation: A survey
Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …
immense potential for real-world applications. Substantial progress has been made recently …
Motiondiffuse: Text-driven human motion generation with diffusion model
Human motion modeling is important for many modern graphics applications, which typically
require professional skills. In order to remove the skill barriers for laymen, recent motion …
require professional skills. In order to remove the skill barriers for laymen, recent motion …
Interdiff: Generating 3d human-object interactions with physics-informed diffusion
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
existing research on HOI synthesis lacks comprehensive whole-body interactions with …
Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts
Inspired by the strong ties between vision and language, the two intimate human sensing
and communication modalities, our paper aims to explore the generation of 3D human full …
and communication modalities, our paper aims to explore the generation of 3D human full …
Behave: Dataset and method for tracking human object interactions
Modelling interactions between humans and objects in natural environments is central to
many applications including gaming, virtual and mixed reality, as well as human behavior …
many applications including gaming, virtual and mixed reality, as well as human behavior …
Space-time-separable graph convolutional network for pose forecasting
Human pose forecasting is a complex structured-data sequence-modelling task, which has
received increasing attention, also due to numerous potential applications. Research has …
received increasing attention, also due to numerous potential applications. Research has …
From goals, waypoints & paths to long term human trajectory forecasting
Human trajectory forecasting is an inherently multimodal problem. Uncertainty in future
trajectories stems from two sources:(a) sources that are known to the agent but unknown to …
trajectories stems from two sources:(a) sources that are known to the agent but unknown to …
Trace and pace: Controllable pedestrian animation via guided trajectory diffusion
We introduce a method for generating realistic pedestrian trajectories and full-body
animations that can be controlled to meet user-defined goals. We draw on recent advances …
animations that can be controlled to meet user-defined goals. We draw on recent advances …
Multimodal trajectory prediction conditioned on lane-graph traversals
Accurately predicting the future motion of surrounding vehicles requires reasoning about the
inherent uncertainty in driving behavior. This uncertainty can be loosely decoupled into …
inherent uncertainty in driving behavior. This uncertainty can be loosely decoupled into …