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Collection of recent deep learning based compression works, e.g., image/video compression

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ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

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Exploring the fascinating world of text-based colorization! Uncover the magic of adding vibrant hues to images using descriptive text cues. Dive into the realm where words bring colors to life, making the ordinary extraordinary.

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OpenNLPLab team is re-inventing the Large Language Model (LLM), and released an official implementation of TransNormerLLM. The opened weights of TransNormerLLM are now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly. Another beneficial point is that release contains the TransNormerLLM model implementation, the open-source weights and the starting code for Supervised 💥Fine-tuning💥 (SFT).

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DreamCraft3D pioneers a groundbreaking approach to 3D content generation, overcoming consistency challenges with innovative techniques like score distillation and Bootstrapped Score Distillation. The alternating optimization strategy showcases a synergistic relationship between 3D scene representation and diffusion models, resulting in remarkable photorealistic renderings and a noteworthy leap in the state-of-the-art.

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Domain Expansion of Image Generators offers a groundbreaking perspective on enhancing pretrained generative models. The ability to seamlessly integrate numerous new domains while preserving the original knowledge presents a transformative approach to model versatility and efficiency, potentially reshaping the landscape of generative model applications.

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4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

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GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

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Official Pytorch implementation of "Visual Style Prompting with Swapping Self-Attention"

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VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

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Official PyTorch implementation of "Contrastive Denoising Score(CDS) for Text-guided Latent Diffusion Image Editing"

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LLMTuner: 💥Fine-Tune Llama💥, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.

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VanillaNet is an innovative neural network architecture that focuses on simplicity and efficiency. Moving away from complex features such as shortcuts and attention mechanisms, VanillaNet uses a reduced number of layers while still maintaining excellent performance. This project showcases that it's possible to achieve effective results with a lean architecture, thereby setting a new path in the field of computer vision and challenging the status quo of foundation models.

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SMARTS (Scalable Multi-Agent Reinforcement Learning Training School) is a simulation platform for multi-agent reinforcement learning (RL) and research on 💥 autonomous driving 💥

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HydraTutorial at AutoML Fall School 2023

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PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision by Nvidia.

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Kornia — Geometric Computer Vision Library for Spatial AI

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FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution

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MagicStick: This repo is the official implementation of "MagicStick: Controllable Video Editing via Control Handle Transformations

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DE-Net: Dynamic Text-guided Image Editing Adversarial Networks

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Projects related to 3D-GAN and beyond:

https://3d-diffusion.github.io/
https://github.com/nv-tlabs/GET3D
https://github.com/NVlabs/eg3d
https://github.com/hongfz16/EVA3D
https://barc.is.tue.mpg.de/
https://rakhimovv.github.io/npbgpp/
https://github.com/yuliangxiu/icon
https://banmo-www.github.io/
https://www.wpeebles.com/gangealing
https://github.com/nv-tlabs/ATISS
https://github.com/facebookresearch/co3d
https://nex-mpi.github.io/
https://bednarikjan.github.io/projects/temp_cons_surf_rec/
https://facebookresearch.github.io/3detr/
https://github.com/facebookresearch/DepthContrast
https://github.com/soubhiksanyal/FLAME_PyTorch
https://marcoamonteiro.github.io/pi-GAN-website/
https://xingangpan.github.io/projects/GAN2Shape.html
https://m-niemeyer.github.io/project-pages/giraffe/index.html

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