Large motion model for unified multi-modal motion generation
Human motion generation, a cornerstone technique in animation and video production, has
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …
widespread applications in various tasks like text-to-motion and music-to-dance. Previous …
Blenderalchemy: Editing 3d graphics with vision-language models
Graphics design is important for various applications, including movie production and game
design. To create a high-quality scene, designers usually need to spend hours in software …
design. To create a high-quality scene, designers usually need to spend hours in software …
MotionFix: Text-driven 3d human motion editing
The focus of this paper is 3D motion editing. Given a 3D human motion and a textual
description of the desired modification, our goal is to generate an edited motion as …
description of the desired modification, our goal is to generate an edited motion as …
Monkey see, monkey do: Harnessing self-attention in motion diffusion for zero-shot motion transfer
Given the remarkable results of motion synthesis with diffusion models, a natural question
arises: how can we effectively leverage these models for motion editing? Existing diffusion …
arises: how can we effectively leverage these models for motion editing? Existing diffusion …
Unimotion: Unifying 3d human motion synthesis and understanding
We introduce Unimotion, the first unified multi-task human motion model capable of both
flexible motion control and frame-level motion understanding. While existing works control …
flexible motion control and frame-level motion understanding. While existing works control …
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
Motion diffusion models and Reinforcement Learning (RL) based control for physics-based
simulations have complementary strengths for human motion generation. The former is …
simulations have complementary strengths for human motion generation. The former is …
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Human motion understanding is a fundamental task with diverse practical applications,
facilitated by the availability of large-scale motion capture datasets. Recent studies focus on …
facilitated by the availability of large-scale motion capture datasets. Recent studies focus on …
Versatile Motion Language Models for Multi-Turn Interactive Agents
Recent advancements in large language models (LLMs) have greatly enhanced their ability
to generate natural and contextually relevant text, making AI interactions more human-like …
to generate natural and contextually relevant text, making AI interactions more human-like …
MotionLLM: Multimodal Motion-Language Learning with Large Language Models
Recent advancements in Multimodal Large Language Models (MM-LLMs) have
demonstrated promising potential in terms of generalization and robustness when applied to …
demonstrated promising potential in terms of generalization and robustness when applied to …
Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing
This research delves into the problem of interactive editing of human motion generation.
Previous motion diffusion models lack explicit modeling of the word-level text-motion …
Previous motion diffusion models lack explicit modeling of the word-level text-motion …