Stars
Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA
Official codes of VEnhancer: Generative Space-Time Enhancement for Video Generation
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
[ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.
Uses opencv to detect when a camera is panning or zooming.
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
[CSUR] A Survey on Video Diffusion Models
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
SEED-Story: Multimodal Long Story Generation with Large Language Model
ASCII generator (image to text, image to image, video to video)
A Gradio web UI for Large Language Models.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
An efficient video loader for deep learning with smart shuffling that's super easy to digest
[ECCV 2024] DragAnything: Motion Control for Anything using Entity Representation
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild. ECCV 2022.
Official Code for MotionCtrl [SIGGRAPH 2024]
[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors