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ByteDance's large model team has achieved another success with their Depth Anything V2 model being incorporated into Apple's Core ML model library. This achievement not only represents a technical breakthrough but is also remarkable because the project leader is actually an intern. Depth Anything V2 is a monocular depth estimation model capable of estimating scene depth from a single image. This model has expanded from a 25M parameter size in its V1 version at the beginning of 2024 to 1.3B in th

ByteDance has released the next-generation Depth Anything V2 depth model, which has achieved significant performance improvements in single-eye depth estimation. Compared to the previous Depth Anything V1, the V2 version features finer details and enhanced robustness, while also showing remarkable efficiency improvements, being over 10 times faster than Stable Diffusion-based models.