Depth Anything 3
🏢
303
Generate depth maps from images using GPU acceleration
Bingyi Kang
bykang
AI & ML interests
None yet
Recent Activity
liked
a Space
3 days ago
depth-anything/depth-anything-3
authored
a paper
20 days ago
Improving Token-Based World Models with Parallel Observation Prediction
authored
a paper
20 days ago
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for
Efficient Robot Execution
Organizations
liked
a
Space
3 days ago
authored
11
papers
20 days ago
Improving Token-Based World Models with Parallel Observation Prediction
Paper
•
2402.05643
•
Published
•
1
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution
Paper
•
2411.02359
•
Published
•
13
Classification Done Right for Vision-Language Pre-Training
Paper
•
2411.03313
•
Published
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
Paper
•
2412.14058
•
Published
•
1
Image Understanding Makes for A Good Tokenizer for Image Generation
Paper
•
2411.04406
•
Published
$\text{M}^{\text{3}}$: A Modular World Model over Streams of Tokens
Paper
•
2502.11537
•
Published
Improving and Benchmarking Offline Reinforcement Learning Algorithms
Paper
•
2306.00972
•
Published
Deep Long-Tailed Learning: A Survey
Paper
•
2110.04596
•
Published
Decoupling Representation and Classifier for Long-Tailed Recognition
Paper
•
1910.09217
•
Published
Trace Anything: Representing Any Video in 4D via Trajectory Fields
Paper
•
2510.13802
•
Published
•
30
Depth Anything 3: Recovering the Visual Space from Any Views
Paper
•
2511.10647
•
Published
•
92
upvoted
a
paper
20 days ago
upvoted
a
collection
20 days ago
upvoted
a
collection
3 months ago
upvoted
a
paper
3 months ago
authored
a
paper
3 months ago
authored
a
paper
5 months ago
updated
a
collection
10 months ago