- Project link: https://nvlabs.github.io/nvdiffrec
- Paper link: https://nvlabs.github.io/nvdiffrec/assets/paper.pdf
- Dataset: NeRF datasets.
- Code: https://nvlabs.github.io/nvdiffrec/
- Video: https://d1qx31qr3h6wln.cloudfront.net/publications/autolod_video.mp4
- Paper: https://research.nvidia.com/publication/2021-04_appearance-driven-automatic-3d-model-simplification
- Code: https://github.com/NVlabs/nvdiffmodeling
TBA
denoising diffusion models: a new class of emerging generative models that is used at the core of the recent text-to-image generation technologies such as DALLE-2 by OpenAI and Imagen by Google.
CVPR 2022 tutorial on this topic:
- Video: https://www.youtube.com/watch?v=cS6JQpEY9cs
- Slides and additional info: https://cvpr2022-tutorial-diffusion-models.github.io/
- Brief:
- 4-hour tutorial
- discrete-time diffusion models and their differential equation-based formulation
- advanced topics: accelerated sampling to conditional and unconditional high-resolution image synthesis
- computer vision applications with diffusion models