素晴らしいショッピング体験が個人的な質問に答える:これは私をどう見るだろうか?
SPREEAI brings that answer into view. One photo becomes a way to explore a garment on yourself, with the detail and familiarity that make an image feel real.
Behind that moment is years of research, careful engineering, and infrastructure built to keep pace. Our collaboration with Lambda helps bring those pieces together.
すべての詳細はあなたの信頼を得る。
ひきこもりが落ちる道。 首の形状です。 好きな作品の書き込み。 小さな細部には、大きな意味がある。
Our virtual try-on model brings pose, fabric, identity, and garment detail into one generation process. It is trained to understand how clothing changes across bodies and positions while preserving what makes the person recognizable and the garment distinctive.
That is what photorealism asks of us: care at every level, even where the technology is invisible.
より良いエンジニアリング 創造する余地が多くなります。
Working alongside Lambda’s machine learning engineers, our team refined how training data is stored, how experiments are scheduled, and how compute is used on Lambda’s NVIDIA H100 infrastructure.
Lambda’s latest case study reports storage costs reduced by more than 30× and model FLOPs utilization rising from roughly 20% to 43%—a measure of how much available compute becomes useful model work. Per-try-on inference time fell from 23 seconds to under 10.
私たちのエンジニアにとって、それはテストと精製の能力を増やすことを意味します。 買い手にとっては、見た目を見るのを待つ時間が少なくなるということです。
次に何が来るか見てみましょう。
We are building toward richer ways to explore fashion, including layered looks and video try-on. The ambition is simple: give people a clearer sense of what they are choosing, wherever they shop.
ランダの探検 顧客ストーリー で、 深い技術のダイビング 経験の背後にある仕事をもっと詳しく見る。