jsn5/dancenet
DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Language: Python
#autoencoders #computer_vision #generative_model #keras #lstm #mixture_density_networks
Stars: 150 Issues: 0 Forks: 17
https://github.com/jsn5/dancenet
DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Language: Python
#autoencoders #computer_vision #generative_model #keras #lstm #mixture_density_networks
Stars: 150 Issues: 0 Forks: 17
https://github.com/jsn5/dancenet
GitHub
GitHub - jsn5/dancenet: DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras) - jsn5/dancenet
omerbsezer/Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Language: Jupyter Notebook
#auto_regressive_model #bayesian_classifiers #cyclegan #dcgan #gans #gaussian_mixture_models #generative_adversarial_network #generative_model #tutorial #tutorial_code #variational_autoencoder #variational_inference
Stars: 117 Issues: 0 Forks: 10
https://github.com/omerbsezer/Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Language: Jupyter Notebook
#auto_regressive_model #bayesian_classifiers #cyclegan #dcgan #gans #gaussian_mixture_models #generative_adversarial_network #generative_model #tutorial #tutorial_code #variational_autoencoder #variational_inference
Stars: 117 Issues: 0 Forks: 10
https://github.com/omerbsezer/Generative_Models_Tutorial_with_Demo
GitHub
GitHub - omerbsezer/Generative_Models_Tutorial_with_Demo: Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational…
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Importa...
kakaobrain/kogpt
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
Language: Python
#deeplearning #generative_model #gpt #gpt3 #huggingface #kakaobrain #kogpt #korean #nlp #transformers
Stars: 145 Issues: 0 Forks: 7
https://github.com/kakaobrain/kogpt
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
Language: Python
#deeplearning #generative_model #gpt #gpt3 #huggingface #kakaobrain #kogpt #korean #nlp #transformers
Stars: 145 Issues: 0 Forks: 7
https://github.com/kakaobrain/kogpt
GitHub
GitHub - kakaobrain/kogpt: KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer) - kakaobrain/kogpt
EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
#few_shot #gan #generative_adversarial_network #generative_model #image_generation #image_synthesis #limited_data #neurips_2021 #stylegan2
Stars: 117 Issues: 0 Forks: 1
https://github.com/EndlessSora/DeceiveD
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
#few_shot #gan #generative_adversarial_network #generative_model #image_generation #image_synthesis #limited_data #neurips_2021 #stylegan2
Stars: 117 Issues: 0 Forks: 1
https://github.com/EndlessSora/DeceiveD
GitHub
GitHub - EndlessSora/DeceiveD: [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data - EndlessSora/DeceiveD
apple/ml-gmpi
Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)
Language: Python
#3d #eccv2022 #generative_adversarial_network #generative_model #multiplane_images #neural_rendering #pytorch
Stars: 99 Issues: 0 Forks: 4
https://github.com/apple/ml-gmpi
Official PyTorch implementation of GMPI (ECCV 2022, Oral Presentation)
Language: Python
#3d #eccv2022 #generative_adversarial_network #generative_model #multiplane_images #neural_rendering #pytorch
Stars: 99 Issues: 0 Forks: 4
https://github.com/apple/ml-gmpi
GitHub
GitHub - apple/ml-gmpi: [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI
[ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI - GitHub - apple/ml-gmpi: [ECCV 2022, Oral Presentation] Official PyTorch implementation of GMPI
YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
#diffusion_models #generative_adversarial_network #generative_model #image_to_image_translation #stable_diffusion #survey #text_to_image #vae
Stars: 190 Issues: 0 Forks: 14
https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
#diffusion_models #generative_adversarial_network #generative_model #image_to_image_translation #stable_diffusion #survey #text_to_image #vae
Stars: 190 Issues: 0 Forks: 14
https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy
GitHub
GitHub - YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy: Diffusion model papers, survey, and taxonomy
Diffusion model papers, survey, and taxonomy. Contribute to YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy development by creating an account on GitHub.
cloneofsimo/paint-with-words-sd
Implementation of Paint-with-words with Stable Diffusion : method from eDiffi that let you generate image from text-labeled segmentation map.
Language: Python
#diffusion #generative_model #stable_diffusion
Stars: 124 Issues: 1 Forks: 12
https://github.com/cloneofsimo/paint-with-words-sd
Implementation of Paint-with-words with Stable Diffusion : method from eDiffi that let you generate image from text-labeled segmentation map.
Language: Python
#diffusion #generative_model #stable_diffusion
Stars: 124 Issues: 1 Forks: 12
https://github.com/cloneofsimo/paint-with-words-sd
GitHub
GitHub - cloneofsimo/paint-with-words-sd: Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let…
Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map. - cloneofsimo/paint-with-words-sd
deepseek-ai/DreamCraft3D
Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
#3d_creation #3d_generation #aigc #diffusion_models #generative_model #image_to_3d
Stars: 304 Issues: 3 Forks: 4
https://github.com/deepseek-ai/DreamCraft3D
Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
#3d_creation #3d_generation #aigc #diffusion_models #generative_model #image_to_3d
Stars: 304 Issues: 3 Forks: 4
https://github.com/deepseek-ai/DreamCraft3D
GitHub
GitHub - deepseek-ai/DreamCraft3D: [ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped…
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior - deepseek-ai/DreamCraft3D
arthur-qiu/LongerCrafter
Code for FreeNoise
Language: Python
#aigc #diffusion #generative_model #video_diffusion_model
Stars: 116 Issues: 2 Forks: 6
https://github.com/arthur-qiu/LongerCrafter
Code for FreeNoise
Language: Python
#aigc #diffusion #generative_model #video_diffusion_model
Stars: 116 Issues: 2 Forks: 6
https://github.com/arthur-qiu/LongerCrafter
GitHub
GitHub - AILab-CVC/FreeNoise: [ICLR 2024] Code for FreeNoise based on VideoCrafter
[ICLR 2024] Code for FreeNoise based on VideoCrafter - AILab-CVC/FreeNoise
wyysf-98/CraftsMan
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
Language: Python
#3d_diffusion #3d_diffusion_models #3d_generation #generative_model
Stars: 187 Issues: 3 Forks: 5
https://github.com/wyysf-98/CraftsMan
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
Language: Python
#3d_diffusion #3d_diffusion_models #3d_generation #generative_model
Stars: 187 Issues: 3 Forks: 5
https://github.com/wyysf-98/CraftsMan
GitHub
GitHub - wyysf-98/CraftsMan: CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner
CraftsMan: High-fidelity Mesh Generation with 3D Native Diffusion and Interactive Geometry Refiner - wyysf-98/CraftsMan
buaacyw/MeshAnything
From anything to mesh like human artists
Language: Python
#3d #generative_ai #generative_model #mesh #mesh_generation #transformer
Stars: 405 Issues: 1 Forks: 12
https://github.com/buaacyw/MeshAnything
From anything to mesh like human artists
Language: Python
#3d #generative_ai #generative_model #mesh #mesh_generation #transformer
Stars: 405 Issues: 1 Forks: 12
https://github.com/buaacyw/MeshAnything
GitHub
GitHub - buaacyw/MeshAnything: From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation…
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers" - buaacyw/MeshAnything
buaacyw/MeshAnythingV2
From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
Language: Python
#3d #3d_generation #generative_model #mesh #transformers
Stars: 305 Issues: 3 Forks: 12
https://github.com/buaacyw/MeshAnythingV2
From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
Language: Python
#3d #3d_generation #generative_model #mesh #transformers
Stars: 305 Issues: 3 Forks: 12
https://github.com/buaacyw/MeshAnythingV2
GitHub
GitHub - buaacyw/MeshAnythingV2: From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh…
From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization" - buaacyw/MeshAnythingV2