[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)

The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image" and "Metric3Dv2: A Versatile Monocular Geometric Foundation Model..."

Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥

Real-time and accurate open-vocabulary end-to-end object detection

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

【ICLR 2024🔥】 Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".

The online version is temporarily unavailable because we cannot afford the key. You can clone and run it locally. Note: we set defaul openai key. If keys exceed plan and are invalid, please tell us. The response speed depends on openai. ( sometimes, the official is too crowded and slow)

[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

A unified multi-task time series model.

[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

A project that optimizes OWL-ViT for real-time inference with NVIDIA TensorRT.

PyTorch Implementation of StyleSinger(AAAI 2024): Style Transfer for Out-of-Domain Singing Voice Synthesis

Zero and Few shot named entity & relationships recognition

PyTorch Implementation of TCSinger(EMNLP 2024): Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control

Official code for the paper: Depth Anything At Any Condition

A curated list of awesome instruction tuning datasets, models, papers and repositories.