Cover Image

Shape Conditioned Human Motion Generation with Diffusion Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Kebing, Seo, Hyewon
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Graphics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IKMo: Image-Keyframed Motion Generation with Trajectory-Pose Conditioned Motion Diffusion Model
by: Zhao, Yang, et al.
Published: (2025)

PhyDeformer: High-Quality Non-Rigid Garment Registration with Physics-Awareness
by: Yu, Boyang, et al.
Published: (2025)

Generating Human Interaction Motions in Scenes with Text Control
by: Yi, Hongwei, et al.
Published: (2024)

LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model
by: Sun, Haowen, et al.
Published: (2024)

Aligning Human Motion Generation with Human Perceptions
by: Wang, Haoru, et al.
Published: (2024)

Shape-aware Inertial Poser: Motion Tracking for Humans with Diverse Shapes Using Sparse Inertial Sensors
by: Yin, Lu, et al.
Published: (2025)

OctFusion: Octree-based Diffusion Models for 3D Shape Generation
by: Xiong, Bojun, et al.
Published: (2024)

DiffBody: Diffusion-based Pose and Shape Editing of Human Images
by: Okuyama, Yuta, et al.
Published: (2024)

Object-Aware 4D Human Motion Generation
by: Gui, Shurui, et al.
Published: (2025)

SMooDi: Stylized Motion Diffusion Model
by: Zhong, Lei, et al.
Published: (2024)

Stability-Driven Motion Generation for Object-Guided Human-Human Co-Manipulation
by: Xu, Jiahao, et al.
Published: (2026)

REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
by: Lee, Jihyun, et al.
Published: (2025)

Kimodo: Scaling Controllable Human Motion Generation
by: Rempe, Davis, et al.
Published: (2026)

Generative Motion In-betweening by Diffusion over Continuous Implicit Representations
by: Fan, Shiyu, et al.
Published: (2026)

Back to Basics: Motion Representation Matters for Human Motion Generation Using Diffusion Model
by: Jin, Yuduo, et al.
Published: (2025)

Physics-based Scene Layout Generation from Human Motion
by: Li, Jianan, et al.
Published: (2024)

Flexible Motion In-betweening with Diffusion Models
by: Cohan, Setareh, et al.
Published: (2024)

AAMDM: Accelerated Auto-regressive Motion Diffusion Model
by: Li, Tianyu, et al.
Published: (2023)

Human-Aware 3D Scene Generation with Spatially-constrained Diffusion Models
by: Hong, Xiaolin, et al.
Published: (2024)

OmniControl: Control Any Joint at Any Time for Human Motion Generation
by: Xie, Yiming, et al.
Published: (2023)

DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control
by: Zhao, Kaifeng, et al.
Published: (2024)

Controllable Shape Modeling with Neural Generalized Cylinder
by: Zhu, Xiangyu, et al.
Published: (2024)

MotionFix: Text-Driven 3D Human Motion Editing
by: Athanasiou, Nikos, et al.
Published: (2024)

RMD: A Simple Baseline for More General Human Motion Generation via Training-free Retrieval-Augmented Motion Diffuse
by: Liao, Zhouyingcheng, et al.
Published: (2024)

EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation
by: Zhou, Wenyang, et al.
Published: (2023)

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
by: Kalischek, Nikolai, et al.
Published: (2022)

Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer
by: Li, Boyuan, et al.
Published: (2024)

LEAD: Latent Realignment for Human Motion Diffusion
by: Andreou, Nefeli, et al.
Published: (2024)

A Plug-and-Play Multi-Criteria Guidance for Diverse In-Betweening Human Motion Generation
by: Yu, Hua, et al.
Published: (2025)

MOSPA: Human Motion Generation Driven by Spatial Audio
by: Xu, Shuyang, et al.
Published: (2025)

Interactive Character Control with Auto-Regressive Motion Diffusion Models
by: Shi, Yi, et al.
Published: (2023)

ShapeUP: Scalable Image-Conditioned 3D Editing
by: Gat, Inbar, et al.
Published: (2026)

Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion
by: Cao, Dongliang, et al.
Published: (2025)

ReflectanceFusion: Diffusion-based text to SVBRDF Generation
by: Xue, Bowen, et al.
Published: (2024)

Event-based Motion-Robust Accurate Shape Estimation for Mixed Reflectance Scenes
by: Dashpute, Aniket, et al.
Published: (2023)

Recovering 3D Shapes from Ultra-Fast Motion-Blurred Images
by: Yu, Fei, et al.
Published: (2026)

TLControl: Trajectory and Language Control for Human Motion Synthesis
by: Wan, Weilin, et al.
Published: (2023)

Motion-2-To-3: Leveraging 2D Motion Data for 3D Motion Generations
by: Guo, Ruoxi, et al.
Published: (2024)

SMooGPT: Stylized Motion Generation using Large Language Models
by: Zhong, Lei, et al.
Published: (2025)

Dynamic Motion Synthesis: Masked Audio-Text Conditioned Spatio-Temporal Transformers
by: Anisetty, Sohan, et al.
Published: (2024)