CREStereo VS unimatch

Compare CREStereo vs unimatch and see what are their differences.

CREStereo

Official MegEngine implementation of CREStereo(CVPR 2022 Oral). (by megvii-research)
stereo-matching cvpr Dataset megengine Computer Vision Deep Learning stereo stereo-vision
Source Code
Suggest alternative
Edit details

unimatch

[TPAMI'23] Unifying Flow, Stereo and Depth Estimation (by autonomousvision)
cross-attention depth stereo Transformer Matching unified-model optical-flow correspondence
Source Code
haofeixu.github.io
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
CREStereo unimatch
1 1
425 887
0.0% 7.3%
0.0 3.5
about 1 year ago 21 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CREStereo

Posts with mentions or reviews of CREStereo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-23.

unimatch

Posts with mentions or reviews of unimatch. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing CREStereo and unimatch you can also consider the following projects:

RealtimeStereo - Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

mmflow - OpenMMLab optical flow toolbox and benchmark

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

RAFT-Stereo

optical.flow.demo - A project that uses optical flow and machine learning to detect aimhacking in video clips.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

UNINEXT - [CVPR'23] Universal Instance Perception as Object Discovery and Retrieval

google-research - Google Research

uform - Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

synthetic-computer-vision - A list of synthetic dataset and tools for computer vision

E2FGVI - Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

CREStereo vs RealtimeStereo unimatch vs mmflow CREStereo vs PINTO_model_zoo unimatch vs frame-interpolation CREStereo vs RAFT-Stereo unimatch vs optical.flow.demo CREStereo vs fashion-mnist unimatch vs UNINEXT CREStereo vs google-research unimatch vs uform CREStereo vs synthetic-computer-vision unimatch vs E2FGVI