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UC San Diego
- United States
- https://scholar.google.com/citations?user=cTGxuQQAAAAJ&hl=en
Highlights
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Stars
Generative Models by Stability AI
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Handwriting Synthesis with RNNs ✏️
Unsupervised single image depth prediction with CNNs
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code…
A suite of image and video neural tokenizers
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).
[ICCV 2021] Our work presents a novel neural rendering approach that can efficiently reconstruct geometric and neural radiance fields for view synthesis.
(NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis
[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
[ECCV 2024] Efficient Large-Baseline Radiance Fields, a feed-forward 2DGS model
Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)
Gaussian Splatting from VGGSfM and Mast3r, and their comparison
BlockDrop: Dynamic Inference Paths in Residual Networks
Spatially Transformed Adversarial Examples with TensorFlow
A simple Python API for single camera calibration using opencv
FastScene: Text-Driven Fast 3D Indoor Scene Generation via Panoramic Gaussian Splatting (IJCAI-2024)
Code to reproduce results in the paper "Defending against Adversarial Images using Basis Functions Transformations"