Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Generating human motion from textual descriptions with discrete representations
In this work, we investigate a simple and must-known conditional generative framework
based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained …
based on Vector Quantised-Variational AutoEncoder (VQ-VAE) and Generative Pre-trained …
Gesturediffuclip: Gesture diffusion model with clip latents
The automatic generation of stylized co-speech gestures has recently received increasing
attention. Previous systems typically allow style control via predefined text labels or example …
attention. Previous systems typically allow style control via predefined text labels or example …
Motionlcm: Real-time controllable motion generation via latent consistency model
This work introduces MotionLCM, extending controllable motion generation to a real-time
level. Existing methods for spatial-temporal control in text-conditioned motion generation …
level. Existing methods for spatial-temporal control in text-conditioned motion generation …
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 …
SINC: Spatial composition of 3D human motions for simultaneous action generation
Our goal is to synthesize 3D human motions given textual inputs describing simultaneous
actions, for examplewaving hand'whilewalking'at the same time. We refer to generating such …
actions, for examplewaving hand'whilewalking'at the same time. We refer to generating such …
Controlvae: Model-based learning of generative controllers for physics-based characters
In this paper, we introduce ControlVAE, a novel model-based framework for learning
generative motion control policies based on variational autoencoders (VAE). Our framework …
generative motion control policies based on variational autoencoders (VAE). Our framework …
Single motion diffusion
Synthesizing realistic animations of humans, animals, and even imaginary creatures, has
long been a goal for artists and computer graphics professionals. Compared to the imaging …
long been a goal for artists and computer graphics professionals. Compared to the imaging …
Virtual instrument performances (vip): A comprehensive review
Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse,
and real‐time computer graphics, the transformation of the performing arts, particularly in …
and real‐time computer graphics, the transformation of the performing arts, particularly in …
Generating human motion in 3D scenes from text descriptions
Generating human motions from textual descriptions has gained growing research interest
due to its wide range of applications. However only a few works consider human-scene …
due to its wide range of applications. However only a few works consider human-scene …
Emotional speech-driven 3d body animation via disentangled latent diffusion
Existing methods for synthesizing 3D human gestures from speech have shown promising
results but they do not explicitly model the impact of emotions on the generated gestures …
results but they do not explicitly model the impact of emotions on the generated gestures …