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University Of Oxford
- Oxford, UK
- https://jensenzhoujh.github.io/
- @jensenzhoujh
Stars
NVIDIA FastGen: Fast Generation from Diffusion Models
[ICLR 26 Oral] Stable Video Infinity: Infinite-Length Video Generation with Error Recycling
xDiT: A Scalable Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism
A unified inference and post-training framework for accelerated video generation.
A PyTorch native platform for training generative AI models
[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL
Official codebase for "Self Forcing: Bridging Training and Inference in Autoregressive Video Diffusion" (NeurIPS 2025 Spotlight)
Ongoing research training transformer models at scale
A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training
Wan: Open and Advanced Large-Scale Video Generative Models
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
Generative Models by Stability AI
[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
Scenic: A Jax Library for Computer Vision Research and Beyond
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion, NeurIPS 2023 (spotlight)
A unified framework for 3D content generation.
Mitsuba 3: A Retargetable Forward and Inverse Renderer
Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)
Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
A latent text-to-image diffusion model
[ICLR2024] Exploring Target Representations for Masked Autoencoders
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
An open source implementation of CLIP.
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.