zpbao

zpbao's Stars

• adobe/SeperateAndEnhance

  Code of Separate and Enhance work for better compositional generation from prompt

  Language:Python5

• NVlabs/RADIO

  Official repository for "AM-RADIO: Reduce All Domains Into One"

  Language:Python55422

• fohrloop/wakepy

  Cross-platform keep-awake with python

  Language:Python17713

• pixeli99/SVD_Xtend

  Stable Video Diffusion Training Code and Extensions.

  Language:Python52447

• jonbarron/website

  Language:HTML2.4k2k

• ali-vilab/VGen

  Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

  Language:Python2.8k253

• martius-lab/videosaur

  Repository for our paper "Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities"

  Language:Python131

• ytongbai/LVM

  Language:Python1.7k53

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.4k324

• ziqipang/LM4VisualEncoding

  [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"

  Language:Python2156

• zsh2000/MuvieNeRF

  [ICCV 2023] Code for "Multi-task View Synthesis with Neural Radiance Fields"

  Language:Python10

• cloneofsimo/lora

  Using Low-rank adaptation to quickly fine-tune diffusion models.

  Language:Jupyter Notebook6.9k477

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.3k222

• georgegach/flowiz

  Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:

  Language:JavaScript24332

• ajabri/videowalk

  Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)

  Language:Python26638

• TRI-ML/VOST

  Code for the VOST dataset

  Language:Python202

• zpbao/MoTok

  Language:Python291

• nupurkmr9/concept-ablation

  Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)

  Language:Python14419

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.2k10k

• XinyuSun/MME

  official implementation of CVPR 23 paper "M3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning"

  Language:Python441

• yuval-alaluf/Attend-and-Excite

  Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

  Language:Jupyter Notebook67861

• pairlab/SlotFormer

  Code release for ICLR 2023 paper: SlotFormer on object-centric dynamics models

  Language:Python9719

• zsh2000/SS-NeRF

  [WACV 2023] Code for "Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields"

  Language:Python281

• karazijal/probable-motion

  Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

  Language:Python161

• esceptico/perceiver-io

  Unofficial implementation of Perceiver IO

  Language:Python1175

• Robertwyq/LSMOL

  [NeurIPS 2022] 4D Unsupervised Object Discovery

  Language:Jupyter Notebook52

• cmu-vision/cmu-vision.github.io

  Language:HTML1379

• sjtuytc/UnboundedNeRFPytorch

  State-of-the-art, simple, fast unbounded / large-scale NeRFs.

  Language:Python1.3k120

• facebookresearch/StyleNeRF

  This is the open source implementation of the ICLR2022 paper "StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis"

  Language:Python95491

• ritheshkumar95/pytorch-vqvae

  Vector Quantized VAEs - PyTorch Implementation

  Language:Python820133