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3D Shape Generation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/C2G2-Gesture/C2G2
공식 코드C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model
https://github.com/DeepGesture/DeepGesture-Unity
공식 코드DeepGesture: A conversational gesture synthesis system based on emotions and semantics
https://github.com/FreddieRao/ShapeCrafter
공식 코드ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
https://github.com/GestureGeneration/Speech_driven_gesture_generation_with_autoencoder
공식 코드https://github.com/GregorKobsik/Octree-Transformer
공식 코드Octree Transformer: Autoregressive 3D Shape Generation on Hierarchically Structured Sequences
https://github.com/IGLICT/DSG-Net
공식 코드DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation
https://github.com/POSTECH-CVLab/Combinatorial-3D-Shape-Generation
공식 코드https://github.com/PantoMatrix/PantoMatrix
공식 코드BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis
https://github.com/PeterTor/TetraDiffusion
공식 코드TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation
https://github.com/QianliM/CAPE
공식 코드https://github.com/Svito-zar/gesticulator
공식 코드Gesticulator: A framework for semantically-aware speech-driven gesture generation
https://github.com/TheoDEPRELLE/AtlasNetV2
공식 코드Learning elementary structures for 3D shape generation and matching
https://github.com/TrepangCat/3D_Semantic_Subspace_Traverser
공식 코드3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
https://github.com/UttaranB127/speech2affective_gestures
공식 코드https://github.com/VAST-AI-Research/TripoSG
공식 코드TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
https://github.com/YoungSeng/ReprGesture
공식 코드https://github.com/advocate99/diffgesture
공식 코드Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
https://github.com/ahnobari/Range-GAN
공식 코드Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis
https://github.com/ai4r/Gesture-Generation-from-Trimodal-Context
공식 코드Speech Gesture Generation from the Trimodal Context of Text, Audio, and Speaker Identity
https://github.com/aliasgharkhani/slime
공식 코드https://github.com/alvinliu0/HA2G
공식 코드Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation
https://github.com/amirbar/speech2gesture
공식 코드https://github.com/amrgomaaelhady/synthogestures
공식 코드https://github.com/andypinxinliu/GestureLSM
공식 코드GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling
https://github.com/aubrey-ao/humanbehavioranimation
공식 코드Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings
https://github.com/chahuja/mix-stage
공식 코드Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach
https://github.com/colorful-liyu/3dqd
공식 코드3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
https://github.com/cure-lab/MotionCraft
공식 코드MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
https://github.com/deepmind/deepmind-research/tree/master/polygen
공식 코드https://github.com/edward1997104/Wavelet-Generation
공식 코드https://github.com/genea-workshop/genea_numerical_evaluations
공식 코드The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation
https://github.com/gitbosun/arapreg
공식 코드ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators
https://github.com/helibenhamu/multichart3dgans
공식 코드https://github.com/hvoss-techfak/AQGT
공식 코드AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis
https://github.com/justimyhxu/awesome-3d-generation
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.