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Found 8 papers, 4 papers with code
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
In this paper, we introduce a scalable motion generation framework that includes the motion tokenizer Motion FSQ-VAE and a text-prefix autoregressive transformer.
Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing
Previous motion diffusion models lack explicit modeling of the word-level text-motion correspondence and good explainability, hence restricting their fine-grained editing ability.
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation
To model this process, we design a consistency distillation technique to predict the action sample directly instead of predicting the noise within the vision community for fast convergence in the low-dimensional action manifold.
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model
By adopting one-step (or few-step) inference, we further improve the runtime efficiency of the motion latent diffusion model for motion generation.
Ranked #27 on
Motion Synthesis
on HumanML3D
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
Action quality assessment (AQA) has become an emerging topic since it can be extensively applied in numerous scenarios.
Plan, Posture and Go: Towards Open-World Text-to-Motion Generation
Some works use the CLIP model to align the motion space and the text space, aiming to enable motion generation from natural language motion descriptions.
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
To facilitate research on text generation, this paper presents a comprehensive and unified library, TextBox 2. 0, focusing on the use of pre-trained language models (PLMs).
Ranked #1 on
Abstractive Text Summarization
on CNN/Daily Mail
FLAG3D: A 3D Fitness Activity Dataset with Language Instruction
With the continuously thriving popularity around the world, fitness activity analytic has become an emerging research topic in computer vision.
