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  • 👋 Hi, I’m Zhisheng Zheng
  • 👀 I’m interested in Deep Learning
  • 💞️ I’m looking to collaborate on any deep learning project
  • 📫 How to reach me ---> just drop me an email: [email protected]

Finn's Projects

anydoor icon anydoor

Official implementations for paper: Anydoor: zero-shot object-level image customization

asap icon asap

[CVPR 2023] Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

autorf-pytorch icon autorf-pytorch

Implicit neural reconstruction, manipulation and scene composition for 3D object

beverse icon beverse

The official repository for BEVerse

bevformer icon bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

bevfusion icon bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

cadc_devkit icon cadc_devkit

A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

comfyui icon comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

ddpm_inversion icon ddpm_inversion

Official pytorch implementation of the paper: "An Edit Friendly DDPM Noise Space: Inversion and Manipulations". CVPR 2024.

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

dinov2 icon dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

fb-bev icon fb-bev

FB-BEV and FB-OCC are vision-centric autonomous driving perception algorithm based on forward-backward view transformation strtegies.

freeu icon freeu

FreeU: Free Lunch in Diffusion U-Net (CVPR2024 Oral)

img2img-turbo icon img2img-turbo

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

inst icon inst

Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)

instant-nsr-pl icon instant-nsr-pl

Neural Surface reconstruction based on Instant-NGP. Efficient and customizable boilerplate for your research projects. Train NeuS in 10min!

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