Tracking Anything with Decoupled Video Segmentation
📝https://github.com/hkchengrex/Tracking-Anything-with-DEVA
📝https://github.com/hkchengrex/Tracking-Anything-with-DEVA
GitHub
GitHub - hkchengrex/Tracking-Anything-with-DEVA: [ICCV 2023] Tracking Anything with Decoupled Video Segmentation
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation - hkchengrex/Tracking-Anything-with-DEVA
Break-A-Scene: Extracting Multiple Concepts from a Single Image
📝https://github.com/google/break-a-scene
📝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
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
📝https://github.com/gnobitab/instaflow
📝https://github.com/gnobitab/instaflow
GitHub
GitHub - gnobitab/InstaFlow: :zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow
:zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow - GitHub - gnobitab/InstaFlow: :zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow
ProPainter: Improving Propagation and Transformer for Video Inpainting
📝https://github.com/sczhou/propainter
📝https://github.com/sczhou/propainter
GitHub
GitHub - sczhou/ProPainter: [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting
[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting - sczhou/ProPainter
Assessing Neural Network Representations During Training Using Data Diffusion Spectra
📝https://github.com/ChenLiu-1996/DiffusionSpectralEntropy
📝https://github.com/ChenLiu-1996/DiffusionSpectralEntropy
GitHub
GitHub - ChenLiu-1996/DiffusionSpectralEntropy: [ICMLW 2023] Assessing Neural Network Representations During Training Using Noise…
[ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy - GitHub - ChenLiu-1996/DiffusionSpectralEntropy: [ICMLW 2023] Assessing Neura...
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
📝https://github.com/dvlab-research/longlora
📝https://github.com/dvlab-research/longlora
GitHub
GitHub - dvlab-research/LongLoRA: Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)
Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral) - dvlab-research/LongLoRA
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
📝https://github.com/jiahao000/mosaicfusion
📝https://github.com/jiahao000/mosaicfusion
GitHub
GitHub - Jiahao000/MosaicFusion: MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation - GitHub - Jiahao000/MosaicFusion: MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabular...
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
📝https://github.com/unitedhuman/unitedhuman
📝https://github.com/unitedhuman/unitedhuman
GitHub
GitHub - UnitedHuman/UnitedHuman
Contribute to UnitedHuman/UnitedHuman development by creating an account on GitHub.
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
📝https://github.com/internlm/internlm-xcomposer
📝https://github.com/internlm/internlm-xcomposer
GitHub
GitHub - InternLM/InternLM-XComposer
Contribute to InternLM/InternLM-XComposer development by creating an account on GitHub.
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
📝https://github.com/showlab/show-1
📝https://github.com/showlab/show-1
GitHub
GitHub - showlab/Show-1: Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation - GitHub - showlab/Show-1: Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
📝https://github.com/dreamgaussian/dreamgaussian
📝https://github.com/dreamgaussian/dreamgaussian
GitHub
GitHub - dreamgaussian/dreamgaussian: [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation
[ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation - dreamgaussian/dreamgaussian
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
📝https://github.com/interactivenlp-team/rolellm-public
📝https://github.com/interactivenlp-team/rolellm-public
GitHub
GitHub - InteractiveNLP-Team/RoleLLM-public: RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language…
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models - GitHub - InteractiveNLP-Team/RoleLLM-public: RoleLLM: Benchmarking, Eliciting, and Enhancing Role-P...