AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
翻译 - “ Ranftl等人,迈向稳健的单眼深度估计:用于零脉冲跨数据集传输的混合数据集,TPAMI 2020”中描述的用于鲁棒的单眼深度估计的代码
Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer https://arxiv.org/abs/2404.05695
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration
Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"
Code for Zero-Shot Tokenizer Transfer
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
Official Pytorch Implementation for "Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer""
Open-vocabulary Semantic Segmentation
Zero-Shot Learning with GCN (CVPR 2018)
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
Robust fine-tuning of zero-shot models
Zero-shot Image-to-Image Translation [SIGGRAPH 2023]
PyTorch Implementation of GenerSpeech (NeurIPS'22): a text-to-speech model towards zero-shot style transfer of OOD custom voice.
"Zero-Shot" Super-Resolution using Deep Internal Learning
Official code for "Decoupling Zero-Shot Semantic Segmentation"
Official implementations for paper: Anydoor: zero-shot object-level image customization