G-U-N/T2I-HumanFeedback

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G-U-N/T2I-HumanFeedback

G-U-N

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Implementations of Baseline Methods for Aligning Text2Img Diffusion Models with Human FeedBack

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

AnimateLCM

[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

Phased-Consistency-Model

[NeurIPS 2024] Boosting the performance of consistency models with PCM!

Gen-L-Video

The official implementation for "Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising".

Jupyter Notebook

Be-Your-Outpainter

[ECCV 2024] Be-Your-Outpainter https://arxiv.org/abs/2403.13745

Rectified-Diffusion

Rectified Diffusion: Straightness Is Not Your Need

Motion-I2V

[SIGGRAPH 2024] Motion I2V: Consistent and Controllable Image-to-Video Generation with Explicit Motion Modeling

a-PyTorch-Tutorial-to-Class-Incremental-Learning

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

ECCV22-FOSTER

The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.

Awesome-Consistency-Models

Awesome List of Consistency Models

Pix2Video.pytorch

Implementation of the paper "Pix2Video: Video Editing using Image Diffusion"

Awesome-Tuned-Text2Img-Diffusion

Awesome papers/projects about fine-tuning text2img diffusion models for new/reference concepts/domains.

ICLR23-BEEF

The implementation for ICLR2023 paper: "BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion" in PyTorch.

Gen-L-2

Long video generation with short video diffusion models.

Stable-Consistency-Tuning

Stable Consistency Tuning: Understanding and Improving Consistency models

Mask-detector

An AI model to detect whether the man in the video is wearing the mask.

2021NJUAP

南京大学2021高级程序设计课设与作业

Parallel-Computing-Project

Parallel algorithms (quick-sort, merge-sort , enumeration-sort) implemented by p-threads and CUDA

ICS2020-workbench

ICS2020 mini-labs

G-U-N

Restricted-Boltzmann-Machine-for-AutoEncoder

reproduce and expansion: Hinton, Geoffrey E., and Ruslan R. Salakhutdinov. "Reducing the dimensionality of data with neural networks." science 313.5786 (2006): 504-507.

cpp-2048-mcts

linux下的C++版2048小游戏与智能Agent