steven-xiong Goto Github PK
Name: Zhexiao Xiong
Type: User
Bio: CS PhD candidate @wustl
Location: St. Louis, MO
Name: Zhexiao Xiong
Type: User
Bio: CS PhD candidate @wustl
Location: St. Louis, MO
Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting
[CVPR 2022] ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Official implementations for paper: Anydoor: zero-shot object-level image customization
code for paper "Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models"
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, T2I-Adapter, IP-Adapter.
collection of diffusion model papers categorized by their subareas
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Official implementation of the paper: Behind the Scenes: Density Fields for Single View Reconstruction (CVPR 2023)
[ICCV 2023] BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Code for "Learning Canonical Representations for Scene Graph to Image Generation", Herzig & Bar et al., ECCV2020
PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]
CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Let us control diffusion models!
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)
CSE559A project
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
The pytorch implementation of our CVPR 2023 paper "Conditional Image-to-Video Generation with Latent Flow Diffusion Models"
[ICCV 2023] A latent space for stochastic diffusion models
[NeurIPS2023] DatasetDM:Synthesizing Data with Perception Annotations Using Diffusion Models
diffusion for dense prediction
Official Pytorch Implementation of DenseDiffusion (ICCV 2023)
Dense matching library based on PyTorch
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.