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Collections including paper arxiv:2401.10891

Depth Anything Release

Depth Anything models, foundation models for monocular depth estimation, trained on 1.5 million labeled images and 62 million unlabeled images

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
Running on Zero

521

521

Depth Anything

🌖

Generate depth map from image
LiheYoung/depth_anything_vitl14

Depth Estimation • Updated Jan 25, 2024 • 82.1k • 40
LiheYoung/depth_anything_vitb14

Depth Estimation • Updated Jan 25, 2024 • 13.3k • 3

Order Matters in the Presence of Dataset Imbalance for Multilingual Learning

Paper • 2312.06134 • Published Dec 11, 2023 • 3
Efficient Monotonic Multihead Attention

Paper • 2312.04515 • Published Dec 7, 2023 • 8
Contrastive Decoding Improves Reasoning in Large Language Models

Paper • 2309.09117 • Published Sep 17, 2023 • 39
Exploring Format Consistency for Instruction Tuning

Paper • 2307.15504 • Published Jul 28, 2023 • 8

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60

Mono Depth Estim

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

Paper • 2403.12008 • Published Mar 18, 2024 • 20

Running on Zero

521

521

Depth Anything

🌖

Generate depth map from image
Running on CPU Upgrade

42

42

Zoe Depth

🌍

Estimate depth from images
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
Running on Zero

75

75

Depth Anything Video

👁

Generate depth maps for video frames

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 13 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 147
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Paper • 2401.14404 • Published Jan 25, 2024 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60

Depth & Segmentation

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
MatAnyone: Stable Video Matting with Consistent Memory Propagation

Paper • 2501.14677 • Published Jan 24 • 31

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60

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