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.
gcorso/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Language: Python
#binding #computational_biology #diffusion_models #docking #equivariance #machine_learning #non_euclidean_geometry #score_based_models
Stars: 125 Issues: 7 Forks: 8
https://github.com/gcorso/DiffDock
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Language: Python
#binding #computational_biology #diffusion_models #docking #equivariance #machine_learning #non_euclidean_geometry #score_based_models
Stars: 125 Issues: 7 Forks: 8
https://github.com/gcorso/DiffDock
GitHub
GitHub - gcorso/DiffDock: Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking - gcorso/DiffDock
pals-ttic/sjc
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Language: Python
#3d_generation #diffusion_models
Stars: 110 Issues: 4 Forks: 1
https://github.com/pals-ttic/sjc
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Language: Python
#3d_generation #diffusion_models
Stars: 110 Issues: 4 Forks: 1
https://github.com/pals-ttic/sjc
GitHub
GitHub - pals-ttic/sjc: Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023)
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation (CVPR 2023) - pals-ttic/sjc
lukasHoel/text2room
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models.
Language: Python
#3d_generation #diffusion_models #mesh_generation #text_to_image
Stars: 426 Issues: 1 Forks: 22
https://github.com/lukasHoel/text2room
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models.
Language: Python
#3d_generation #diffusion_models #mesh_generation #text_to_image
Stars: 426 Issues: 1 Forks: 22
https://github.com/lukasHoel/text2room
GitHub
GitHub - lukasHoel/text2room: Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023).
Text2Room generates textured 3D meshes from a given text prompt using 2D text-to-image models (ICCV2023). - lukasHoel/text2room
Yujun-Shi/DragDiffusion
Official code for DragDiffusion
Language: Python
#artificial_intelligence #diffusion_models #dragdiffusion #draggan #image_editing
Stars: 288 Issues: 3 Forks: 23
https://github.com/Yujun-Shi/DragDiffusion
Official code for DragDiffusion
Language: Python
#artificial_intelligence #diffusion_models #dragdiffusion #draggan #image_editing
Stars: 288 Issues: 3 Forks: 23
https://github.com/Yujun-Shi/DragDiffusion
GitHub
GitHub - Yujun-Shi/DragDiffusion: [CVPR2024, Highlight] Official code for DragDiffusion
[CVPR2024, Highlight] Official code for DragDiffusion - Yujun-Shi/DragDiffusion
google/break-a-scene
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Language: Python
#deep_learning #diffusion_models #generative_ai #multimodal #text_to_image
Stars: 164 Issues: 1 Forks: 4
https://github.com/google/break-a-scene
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Language: Python
#deep_learning #diffusion_models #generative_ai #multimodal #text_to_image
Stars: 164 Issues: 1 Forks: 4
https://github.com/google/break-a-scene
GitHub
GitHub - google/break-a-scene: Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH…
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023] - google/break-a-scene
mihirp1998/AlignProp
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion
Language: Python
#alignment #diffusion_models #reinforcement_learning #stable_diffusion #text_to_image
Stars: 104 Issues: 4 Forks: 1
https://github.com/mihirp1998/AlignProp
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion
Language: Python
#alignment #diffusion_models #reinforcement_learning #stable_diffusion #text_to_image
Stars: 104 Issues: 4 Forks: 1
https://github.com/mihirp1998/AlignProp
GitHub
GitHub - mihirp1998/AlignProp: AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion…
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods...
hustvl/GaussianDreamer
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Language: Python
#aigc #computer_vision #diffusion_models #dreamfusion #gaussian_splatting #nerf #radiance_field #text_to_3d
Stars: 134 Issues: 0 Forks: 1
https://github.com/hustvl/GaussianDreamer
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Language: Python
#aigc #computer_vision #diffusion_models #dreamfusion #gaussian_splatting #nerf #radiance_field #text_to_3d
Stars: 134 Issues: 0 Forks: 1
https://github.com/hustvl/GaussianDreamer
GitHub
GitHub - hustvl/GaussianDreamer: GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models…
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024) - hustvl/GaussianDreamer
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
horseee/DeepCache
DeepCache: Accelerating Diffusion Models for Free
Language: Python
#diffusion_models #efficient_inference #model_compression #stable_diffusion #training_free
Stars: 177 Issues: 5 Forks: 5
https://github.com/horseee/DeepCache
DeepCache: Accelerating Diffusion Models for Free
Language: Python
#diffusion_models #efficient_inference #model_compression #stable_diffusion #training_free
Stars: 177 Issues: 5 Forks: 5
https://github.com/horseee/DeepCache
GitHub
GitHub - horseee/DeepCache: [CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free - horseee/DeepCache
FoundationVision/VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
Language: Python
#auto_regressive_model #diffusion_models #image_generation #transformers
Stars: 440 Issues: 6 Forks: 10
https://github.com/FoundationVision/VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
Language: Python
#auto_regressive_model #diffusion_models #image_generation #transformers
Stars: 440 Issues: 6 Forks: 10
https://github.com/FoundationVision/VAR
GitHub
GitHub - FoundationVision/VAR: [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of…
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction&qu...
PKU-YuanGroup/MagicTime
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Language: Python
#diffusion_models #long_video_generation #metamorphic_video_generation #open_sora_plan #text_to_video #time_lapse #time_lapse_dataset #video_generation
Stars: 281 Issues: 4 Forks: 16
https://github.com/PKU-YuanGroup/MagicTime
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
Language: Python
#diffusion_models #long_video_generation #metamorphic_video_generation #open_sora_plan #text_to_video #time_lapse #time_lapse_dataset #video_generation
Stars: 281 Issues: 4 Forks: 16
https://github.com/PKU-YuanGroup/MagicTime
GitHub
GitHub - PKU-YuanGroup/MagicTime: MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators - PKU-YuanGroup/MagicTime
jy0205/Pyramid-Flow
Code of Pyramidal Flow Matching for Efficient Video Generative Modeling
Language: Python
#diffusion_models #flow_matching #video_generation
Stars: 613 Issues: 10 Forks: 47
https://github.com/jy0205/Pyramid-Flow
Code of Pyramidal Flow Matching for Efficient Video Generative Modeling
Language: Python
#diffusion_models #flow_matching #video_generation
Stars: 613 Issues: 10 Forks: 47
https://github.com/jy0205/Pyramid-Flow
GitHub
GitHub - jy0205/Pyramid-Flow: Code of Pyramidal Flow Matching for Efficient Video Generative Modeling
Code of Pyramidal Flow Matching for Efficient Video Generative Modeling - jy0205/Pyramid-Flow
mit-han-lab/nunchaku
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Language: Cuda
#diffusion_models #flux #genai #lora #mlsys #quantization
Stars: 249 Issues: 10 Forks: 13
https://github.com/mit-han-lab/nunchaku
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
Language: Cuda
#diffusion_models #flux #genai #lora #mlsys #quantization
Stars: 249 Issues: 10 Forks: 13
https://github.com/mit-han-lab/nunchaku
GitHub
GitHub - mit-han-lab/nunchaku: SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models - mit-han-lab/nunchaku