- Single Motion Diffusion, Raab et al., ICLR 2024
- OmniControl: Control Any Joint at Any Time for Human Motion Generation, Xie et al., ICLR 2024
- Human Motion Diffusion as a Generative Prior, Shafir et al., ICLR 2024
- MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation, Hoang et al., AAAI 2024
- DNO: Optimizing Diffusion Noise Can Serve As Universal Motion Priors, Karunratanakul et al., Arxiv 2023
- RoHM: Robust Human Motion Reconstruction via Diffusion, Zhang et al., Arxiv 2023
- EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation, Zhou et al., Arxiv 2023
- DiffusionPhase: Motion Diffusion in Frequency Domain, Wan et al., Arxiv 2023
- InterControl: Generate Human Motion Interactions by Controlling Every Joint, Wang et al., Arxiv 2023
- AAMDM: Accelerated Auto-regressive Motion Diffusion Model, Li et al., Arxiv 2023
- ReMoS: Reactive 3D Motion Synthesis for Two-Person Interactions, Ghosh et al., Arxiv 2023
- HOI-Diff: Text-Driven Synthesis of 3D Human-Object Interactions using Diffusion Models, Peng et al., Arxiv 2023
- Controllable Motion Diffusion Model, Shi et al., Arxiv 2023
- MAS: Multi-view Ancestral Sampling for 3D motion generation using 2D diffusion, Kapon et al., Arxiv 2023
- CG-HOI: Contact-Guided 3D Human-Object Interaction Generation, Diller et al., Arxiv 2023
- A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis, Zhou et al., Arxiv 2023
- Controllable Motion Synthesis and Reconstruction with Autoregressive Diffusion Models, Yin et al., Arxiv 2023
- Guided Motion Diffusion for Controllable Human Motion Synthesis, Karunratanakul et al., ICCV 2023
- Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models, Pi et al., ICCV 2023
- PhysDiff: Physics-Guided Human Motion Diffusion Model, Yuan et al., ICCV 2023
- Priority-Centric Human Motion Generation in Discrete Latent Space, Kong et al., ICCV 2023
- ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model, Zhang et al., ICCV 2023
- Flame: Free-form language-based motion synthesis & editing, Kim et al., AAAI 2023
- Object Motion Guided Human Motion Synthesis, Li et al., SIG ASIA 2023, TOG 2023
- Controllable Group Choreography using Contrastive Diffusion, Le et al., TOG 2023
- Listen, denoise, action! Audio-driven motion synthesis with diffusion models, Alexanderson et al., SIG 2023, TOG 2023
- GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents Ao et al., SIG 2023, TOG 2023
- Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation, Zhu et al., CVPR 2023
- MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis, Dabral et al., CVPR 2023
- Executing your Commands via Motion Diffusion in Latent Space, Jiang et al., CVPR 2023
- MDM: Human Motion Diffusion Model, Tevet et al., ICLR 2023
- MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model, Zhang et al., Arxiv 2022
Some motion tools, maintained by Frank Zhiyang Dou.
A list of our research works on character animation (both kinematics-based and physics-based animation).
- [Physically Simulated Character Animation]
- C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters, SIGGRAPH ASIA 2023. [Project Page]
- [Kinematics-based Character Animation]
- TLcontrol: Trajectory and Language Control for Human Motion Synthesis, Arxiv 2023. [Project Page]
- EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation, Arxiv 2023. [Project Page]
Tool list
- bvh2fbx: bvh2fbx.py
- smpl npy2mp4: vis_tool_mp4.py
conda create -n Motion_Tool python=3.8
conda activate Motion_Tool
pip install smplx
pip install torch==1.13.1+cu117 torchvision==0.14.1+cu117 torchaudio==0.13.1 --extra-index-url https://download.pytorch.org/whl/cu117
pip install numpy
pip install matplotlib==3.1.3
pip install scipy
pip install scikit-image
pip install chumpy
pip install numpy==1.23.1