pixeli99

pixeli99's Stars

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript12.4k9236743.9k

• THUDM/GLM-4

  GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型

  Language:Python5.3k34564434

• kohya-ss/sd-scripts

  Language:Python5.3k541.1k876

• fundamentalvision/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.

  Language:Python3.4k72268546

• facebookresearch/ijepa

  Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

  Language:Python2.8k5958356

• mistralai/mistral-finetune

  Language:Python2.7k3739228

• apple/ml-4m

  4M: Massively Multimodal Masked Modeling

  Language:Python1.6k332495

• FoundationVision/LlamaGen

  Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation

  Language:Python1.3k226056

• megvii-research/PETR

  [ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

  Language:Python87113162131

• MyNiuuu/MOFA-Video

  [ECCV 2024] MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model.

  Language:Python627234836

• AIGText/Glyph-ByT5

  [ECCV2024] This is an official inference code of the paper "Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering" and "Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering""

  Language:Jupyter Notebook510181722

• LPengYang/MotionClone

  Official implementation of MotionClone: Training-Free Motion Cloning for Controllable Video Generation

  Language:Python402182031

• exx8/differential-diffusion

  Language:Python396103023

• YingqingHe/Awesome-LLMs-meet-Multimodal-Generation

  🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).

  Language:HTML35013420

• OpenDriveLab/OpenScene

  3D Occupancy Prediction Benchmark in Autonomous Driving

  Language:Python31010921

• GigaAI-research/General-World-Models-Survey

  29111014

• genforce/ctrl-x

  Official implementation of "Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance" (NeurIPS 2024)

  Language:Python2522279

• YangLing0818/VideoTetris

  [NeurIPS 2024] VideoTetris: Towards Compositional Text-To-Video Generation

  Language:Python2061976

• RockeyCoss/SPO

  Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step

  Language:Python1577213

• sterzhang/image-textualization

  Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions (NeurIPS 2024)

  Language:Python144458

• Bin-ze/BEVFormer_segmentation_detection

  Implemented BEVFormer support for BEV segmentation

  Language:Python1041339

• OpenDriveLab/MPI

  [RSS 2024] Learning Manipulation by Predicting Interaction

  Language:Python90331

• OpenRobotLab/Grounded_3D-LLM

  Code&Data for Grounded 3D-LLM with Referent Tokens

  Language:Python89682

• BraveGroup/LAW

  Enhancing End-to-End Autonomous Driving with Latent World Model

  86982

• sramshetty/ShortGPT

  Unofficial implementations of block/layer-wise pruning methods for LLMs.

  Language:Jupyter Notebook51267

• buxiangzhiren/VD-IT

  Language:Python32271

• pixeli99/OwLore

  Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" by Pengxiang Li, Lu Yin, Xiaowei Gao, Shiwei Liu

  Language:Python27236

• weihaox/UMBRAE

  [ECCV 2024] UMBRAE: Unified Multimodal Brain Decoding | Unveiling the 'Dark Side' of Brain Modality

  Language:Jupyter Notebook26472

• sooyeon-go/eye_for_an_eye

  Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models

  Language:Jupyter Notebook24611

• pixeli99/W-CODA2024-Track2

  This repository is dedicated to Track 2 of the W-CODA 2024 Workshop, "Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving," held at ECCV 2024.

  Language:Python7310