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Tsinghua University
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A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability
Diffusion Model-Based Image Editing: A Survey (TPAMI 2025)
Customized Multi-subject Text-to-video Generation with Disentangled Spatial Control
The official repository for our ICLR2024 paper, DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
[CVPR'2024 Highlight] Official PyTorch implementation of the paper "VTimeLLM: Empower LLM to Grasp Video Moments".
The most easy-to-understand tutorial for using LoRA (Low-Rank Adaptation) within diffusers framework for AI Generation Researchers🔥
[ICCV 2023 Oral] Text-to-Image Diffusion Models are Zero-Shot Video Generators
[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, Comfy…
This script allows to automate video stylization task using StableDiffusion and ControlNet.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
LAVIS - A One-stop Library for Language-Vision Intelligence
ICLR2023 - Tailoring Language Generation Models under Total Variation Distance
[CVPR 2023] Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
An autoML framework & toolkit for machine learning on graphs.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Using Low-rank adaptation to quickly fine-tune diffusion models.
stable diffusion webui with contrastive prompt tuning
Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search, ACMMM 2022
This reporsitory is for the code of the paper Auxiliary Learning with Joint Task and Data Scheduling
Repository of NeurIPS22 Module-Aware Optimization for Auxiliary Learning