这是一个segformer-pytorch的源码，可以用于训练自己的模型。

[ECCV 2024, Oral] DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors

A generative world for general-purpose robotics & embodied AI learning.

UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation

Lifting ControlNet for Generalized Depth Conditioning

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

Amodal Depth Anything: Amodal Depth Estimation in the Wild

Official code of "Imagine360: Immersive 360 Video Generation from Perspective Anchor"

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion

Official implementation of "ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis"

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

The best OSS video generation models

Official implementation of OneDiffusion paper

MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision

SAM4SS: Tailoring SAM and SAM2 for Semantic Segmentation

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Official implementation of Add-SD: Rational Generation without Manual Reference.

Official repository for paper "Open Panoramic Segmentation" (OPS) at ECCV 2024

Infinite Photorealistic Worlds using Procedural Generation

Official PyTorch implementation for a conditional diffusion probability model in BEV perception

[ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Task-Customized Mixture of Adapters for General Image Fusion (CVPR 2024)

[CVPR' 24] Toolkit for 360Loc: A Dataset and Benchmark for Omnidirectional Visual Localization with Cross-device Queries Resources

Oracle Bone Script data collected by VLRLab of HUST

Muggled DPT: Depth estimation without the magic

[CVPR 2024] Code for "Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation"

[IPCAI'2024 (IJCARS special issue)] Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery

Low rank adaptation for Vision Transformer