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Jasper@heyjasperai·1 Tem

We’re thrilled to announce that the Jasper Research team’s latest paper on Latent Bridge Matching (LBM) was accepted to the prestigious IEEE/CVF International Conference on Computer Vision! Thank you @ICCVConference for the recognition, and congratulations to the team: @onurxtasar, Sanjeev Sreetharan, Benjamin Aubin, Gonzalo Quintana, @dh7net, and @CChadebec. LBM is a technique for rapid, high-fidelity image-to-image translation. Learn more about how LBM is changing visual marketing for retailers. bit.ly/3ZWMEcI

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Clément Chadebec@CChadebec·16 May

@RedmondAI No it was not trained to ensure temporal consistency.

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Redmond Hosting@RedmondAI·16 May

@CChadebec Any training for temporal consistency?

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Clément Chadebec@CChadebec·13 May

📢 Latent Bridge Matching update! 📢 New @heyjasperai release 🚀 - 3 LBM models on @huggingface (relighting, depth, normals) - LBM training code Also see our @Gradio space for object relighting! 🤗 huggingface.co/jasperai/LBM_r… 💻 github.com/gojasper/LBM 📗 arxiv.org/abs/2503.07535

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Clément Chadebec@CChadebec·15 May

@RedmondAI We open-sourced the model on HuggingFace so do not hesitate to give it a try! The model was trained with images of max resolution set to 1024.

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Redmond Hosting@RedmondAI·15 May

@CChadebec that depth looks really detailed, how accurate is it? Does it have resolution limitations? I would love to see more examples of just the MDE, looks great!

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A.I.Warper@AIWarper·13 May

Object Relighting with Latent Bridge Matching Link to Hugging Face space below + Link to Kijai's ComfyUI wrapper in first comment 👇

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Jasper@heyjasperai·13 May

Proud to share the latest breakthrough from Jasper Research: Latent Bridge Matching (LBM) just got a major update! Our team has released three new open-source models on Hugging Face—supporting depth, normals, and relighting—along with training code and a Gradio demo for object relighting. This work continues our mission to advance controllable, high-quality AI image generation for enterprise marketing teams. 🔗 Explore the research, models, and demo: linkedin.com/feed/update/ur… 👏 Congrats to @CChadebec, Benjamin Aubin, @OnurXTasar, and @dh7net for pushing the field forward.

📢 Latent Bridge Matching update! 📢 New @heyjasperai release 🚀 - 3 LBM models on @huggingface (relighting, depth, normals) - LBM training code Also see our @Gradio space for object relighting! 🤗 huggingface.co/jasperai/LBM_r… 💻 github.com/gojasper/LBM 📗 arxiv.org/abs/2503.07535

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Damien Henry@dh7net·13 May

Very proud of the team!

📢 Latent Bridge Matching update! 📢 New @heyjasperai release 🚀 - 3 LBM models on @huggingface (relighting, depth, normals) - LBM training code Also see our @Gradio space for object relighting! 🤗 huggingface.co/jasperai/LBM_r… 💻 github.com/gojasper/LBM 📗 arxiv.org/abs/2503.07535

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Clément Chadebec@CChadebec·13 May

We also release checkpoints for normal and depth estimation where the model should translate an input image into a normal or depth map. 🤗 Ckpt: huggingface.co/jasperai/LBM_d… 🤗 Ckpt: huggingface.co/jasperai/LBM_n…

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Clément Chadebec@CChadebec·13 May

Today, we release on @huggingface, the model for object relighting where the model should relight a foreground object so that it blends perfectly with a target background. 🤗Ckpt: huggingface.co/jasperai/LBM_r… 🤗Demo: huggingface.co/spaces/jaspera…

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Maxence Noble@maxence_noble·19 Nis

🔥Wanna talk about combining diffusion models and sampling ?🔥 I'll be attending ICLR next week to present my work (main track + FPI workshop) with the one and only @theh2o64, we'll be pleased to discuss about this hot topic. See you there !

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Mistral AI@MistralAI·17 Mar

Introducing Mistral Small 3.1. Multimodal, Apache 2.0, outperforms Gemma 3 and GPT 4o-mini. mistral.ai/news/mistral-s…

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Jasper@heyjasperai·13 Mar

New research drop! Our team at Jasper is redefining image-to-image translation with LBM: Latent Bridge Matching—a scalable approach to high-speed AI-powered image transformation. See it in action!

Excited to share our new research at @heyjasperai !🚀 LBM: Latent Bridge Matching for Fast Image-to-Image Translation Try out our @huggingface space for object relighting! 🤗@Gradio demo: huggingface.co/spaces/jaspera… 👉Paper: arxiv.org/abs/2503.07535 💻Repo: github.com/gojasper/LBM

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Linoy Tsaban@linoy_tsaban·13 Mar

Yesss @heyjasperai introduces LBM: Latent Bridge Matching for Fast Image-to-Image Translation💡 and drops an amazing ✨image relighting✨ demo that runs with a single(!) inference step 🔥

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Damien Henry@dh7net·13 Mar

I can't be more proud of the team!

Excited to share our new research at @heyjasperai !🚀 LBM: Latent Bridge Matching for Fast Image-to-Image Translation Try out our @huggingface space for object relighting! 🤗@Gradio demo: huggingface.co/spaces/jaspera… 👉Paper: arxiv.org/abs/2503.07535 💻Repo: github.com/gojasper/LBM

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Ben@cocolitron·13 Mar

This is soooo good.

... we also derive a conditional framework of LBM and demonstrate its effectiveness by tackling the tasks of controllable image relighting and shadow generation 🕹️ …

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Tommy Falkowski@TommyFalkowski·13 Mar

I love this!

Excited to share our new research at @heyjasperai !🚀 LBM: Latent Bridge Matching for Fast Image-to-Image Translation Try out our @huggingface space for object relighting! 🤗@Gradio demo: huggingface.co/spaces/jaspera… 👉Paper: arxiv.org/abs/2503.07535 💻Repo: github.com/gojasper/LBM

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Saulnier Lucile@LucileSaulnier·13 Mar

🌟 Exciting news in image-to-image translation! This new method achieves state-of-the-art results with just one inference step! Check out the amazing relighting demo showcased ! 🐶🎨✨

Excited to share our new research at @heyjasperai !🚀 LBM: Latent Bridge Matching for Fast Image-to-Image Translation Try out our @huggingface space for object relighting! 🤗@Gradio demo: huggingface.co/spaces/jaspera… 👉Paper: arxiv.org/abs/2503.07535 💻Repo: github.com/gojasper/LBM

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