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NTU S-Lab
- Singapore
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14:33
(UTC +08:00) - in/zhejuntang
Highlights
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Stars
21 Lessons, Get Started Building with Generative AI
Original reference implementation of "GES : Generalized Exponential Splatting for Efficient Radiance Field Rendering" [CVPR 2024]
Google Chrome and Firefox extension that prevents the blocking of pasting into input fields
Graphics and animations with the Apple Metal API
Implicit Differentiable Render with Neural Environment Lighting
[ICCV2023] Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
Project code for our HPG2023 paper "PSAO: Point-Based Split Rendering for Ambient Occlusion"
PyTorch code and models for the DINOv2 self-supervised learning method.
Official code for CVPR 2023 Paper, HexPlane: A Fast Representation for Dynamic Scenes
SIGGRAPH Asia 2022: Code for "Efficient Neural Radiance Fields for Interactive Free-viewpoint Video"
Implementation of DynIBaR Neural Dynamic Image-Based Rendering (CVPR 2023)
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
[ICLR 2023] General Neural Gauge Fields
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Instant neural graphics primitives: lightning fast NeRF and more
Official Code for DragGAN (SIGGRAPH 2023)
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Multi-Space Neural Radiance Fields(CVPR 2023 & TPAMI 2025)