(CVPR 2025) DoF-Gaussian: Controllable Depth-of-Field for 3D Gaussian Splatting

High-quality and editable surfel 3D Gaussian generation through native 3D diffusion (ICLR 2025)

[CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

[ISCAS 2024 Tutorial] New Era of Artificial Intelligence: Unleashing the Power of Large Models in Visual Applications

[ECCV-2024] LN3Diff creates high-quality 3D object mesh from text within 8 V100-SECONDS.

[CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation

[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

[CVPR 2023] E3DGE: An encoder-based 3D StyleGAN inversion framework.

Code for Text2Performer. Paper: Text2Performer: Text-Driven Human Video Generation

[SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

Code for Text2Human (SIGGRAPH 2022). Paper: Text2Human: Text-Driven Controllable Human Image Generation

[ECCV 2020] "Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches"

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

Model summary in PyTorch similar to `model.summary()` in Keras

Data Animation Tools based on Manim of 3blue1brown

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN