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3D Human Pose Tracking

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kumapowerliu/human-motionformer

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Human MotionFormer: Transferring Human Motions with Vision Transformers

https://github.com/kwanyun/AnyMoLe

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AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models

https://github.com/li-ronghui/FineDance

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FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation

https://github.com/li-ronghui/LODGE

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Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

https://github.com/liangxuy/Inter-X

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Inter-X: Towards Versatile Human-Human Interaction Analysis

https://github.com/library87/OpenRoboExp

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Driving Animatronic Robot Facial Expression From Speech

https://github.com/lisiyao21/bailando

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Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

https://github.com/llm-lab-org/generative-ai-for-character-animation-survey

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Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

https://github.com/lpengyang/motionclone

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MotionClone: Training-Free Motion Cloning for Controllable Video Generation

https://github.com/markomih/VolumetricSMPL

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VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions

https://github.com/meaten/motionaug

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MotionAug: Augmentation with Physical Correction for Human Motion Prediction

https://github.com/michaelliyunhao/skeleton2humanoid

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Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening

https://github.com/mingyuan-zhang/FineMoGen

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FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

https://github.com/mingyuan-zhang/MotionDiffuse

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MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model

https://github.com/mingyuan-zhang/ReMoDiffuse

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ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

https://github.com/minieval/citl

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Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation

https://github.com/monkeyseedocg/momo-code

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Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transfer

https://github.com/mrzzy2021/styledmotionsynthesis

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Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models

https://github.com/nate-gillman/self-correcting-self-consuming

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Self-Correcting Self-Consuming Loops for Generative Model Training

https://github.com/oppo-us-research/USST

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Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting

https://github.com/pabloruizponce/in2IN

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in2IN: Leveraging individual Information to Generate Human INteractions

https://github.com/patrickrperrine/comp-choreo

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KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art

https://github.com/pauzii/phasebetweener

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Motion In-Betweening with Phase Manifolds

https://github.com/pr-ryan/demo

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Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning

https://github.com/priormdm/priormdm

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Human Motion Diffusion as a Generative Prior

https://github.com/qrzou/parco

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ParCo: Part-Coordinating Text-to-Motion Synthesis

https://github.com/rohollahhs/bad

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BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation

https://github.com/shivangi-aneja/FaceTalk

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FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models

https://github.com/sigal-raab/modi

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MoDi: Unconditional Motion Synthesis from Diverse Data

https://github.com/steve-zeyu-zhang/MotionAnything

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Motion Anything: Any to Motion Generation

https://github.com/steve-zeyu-zhang/MotionMamba

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Motion Mamba: Efficient and Long Sequence Motion Generation

https://github.com/synthesiaresearch/humanrf

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HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

https://github.com/tr3e/intergen

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InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions

https://github.com/ubisoftinc/Ubisoft-LaForge-Animation-Dataset

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Robust Motion In-betweening

https://github.com/una-dinosauria/human-motion-prediction

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On human motion prediction using recurrent neural networks

https://github.com/vita-epfl/motion-style-transfer

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Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

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