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  • 3 недели назадОпубликованоDataMListic

Depth Anything 3:Recovering the Visual Space from Any Views - Paper Walkthrough

Discover Depth Anything 3, the new SOTA in 3D geometry estimation that generates photorealistic, explorable digital twins from a simple video feed. Learn how its minimal depth ray prediction and single transformer design unify all 3D reconstruction tasks. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ DeepSeek-R1: The Illusion of Thinking: SAM2: Google's AlphaEvolve: Chain-of-Verification (COVE) Reduces Hallucination in Large Language Models: Why Language Models Hallucinate: Transformer Self-Attention Mechanism Explained: Jailbroken: How Does LLM Safety Training Fail? - Paper Explained: How to Fine-tune Large Language Models Like ChatGPT with Low-Rank Adaptation (LoRA): Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped Query Attention (GQA) Explained: LLM Prompt Engineering with Random Sampling: Temperature, Top-k, Top-p: *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 X: @datamlistic 📸 Instagram: @datamlistic 📱 TikTok: @datamlistic @datamlistic 👔 Linkedin: *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #computervision #3dreconstruction #machinelearning #depthanything3 #ai