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Physical laws underpin all existence, and harnessing them for generative modeling opens boundless possibilities for advancing science and shaping the future!
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
Official Implementation of CVPR24 highlight paper: Matching Anything by Segmenting Anything
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
[NeurIPS 2023] PyTorch Implementation of "Social Motion Prediction with Cognitive Hierarchies"
MoBERT: A Strongly Correlated Text-to-Motion Evaluation Metric
[ICCV 2023] How Much Temporal Long-Term Context is Needed for Action Segmentation?
Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
Must-read papers on prompt-based tuning for pre-trained language models.
A curated list of prompt-based paper in computer vision and vision-language learning.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Official repo for consistency models.
The software used in NeurIPS 2022 Paper Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation.
A curated list of awesome temporal action segmentation resources.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch reimplementation of Diffusion Models
A collection of resources and papers on Diffusion Models
This code is for paper "LabelFool: A Trick In The Label Space" which is published in IJCNN 2022.
v objective diffusion inference code for PyTorch.
NVIDIA's Deep Imagination Team's PyTorch Library
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
A curated list of awesome neural radiance fields papers
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
Code Repository for Liquid Time-Constant Networks (LTCs)