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Fudan Unversity
- China
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19:03
(UTC -12:00) - https://scholar.google.com/citations?hl=zh-CN&user=HDNkQkgAAAAJ
Stars
SwinIR: Image Restoration Using Swin Transformer (official repository)
Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration
Painter & SegGPT Series: Vision Foundation Models from BAAI
[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Official repo of "Guide3D: Create 3D Avatars from Text and Image Guidance"
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
Implementations of NeRF variants based on Taichi + PyTorch
Official code for "RealFusion: 360° Reconstruction of Any Object from a Single Image" (CVPR 2023)
Easy NeRF synthetic dataset creation within Blender
3D mesh stylization driven by a text input in PyTorch
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Unofficial implementation of ZipNeRF
A Unified Framework for Surface Reconstruction
Infinite Photorealistic Worlds using Procedural Generation
mmd_tools is a blender addon for importing Models and Motions of MikuMikuDance.
This is the official repository for OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering [CVPR2023].
Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.
[ICCV23] AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos (CVPR2023)
papers about Face Reenactment/Talking Face Generation
📖 A curated list of resources dedicated to talking face.
Official code for "HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion"
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models, arxiv 2023 / CVPR 2024
AI based all-in-one character generator Blender plug-in. This project contains unofficial updates for the CEB_ECON Blender add-on.
Personalized Face Generation with Text-to-Image Diffusion Models