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Clément Chadebec

@clementchadebec.bsky.social
17 followers 17 following 17 posts

Research Scientist

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Clément Chadebec @clementchadebec.bsky.social · 13/05/2025
We also release ckpts for normal and depth estimation where the model should translate an input image into a normal or depth map. 🤗 Ckpt: huggingface.co/jasperai/LBM... 🤗 Ckpt: huggingface.co/jasperai/LBM...
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Clément Chadebec @clementchadebec.bsky.social · 13/05/2025
Today, we release on @hf.co, 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... 🤗Demo: huggingface.co/spaces/jaspe...
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Clément Chadebec @clementchadebec.bsky.social · 13/05/2025
In the proposed LBM method, we propose to encode the source and target image into a latent space and then build a stochastic path called a Brownian Bridge between them. In particular, the stochasticity of these paths makes the method differ from flow matching.
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Clément Chadebec @clementchadebec.bsky.social · 13/05/2025
Latent Bridge Matching (LBM) is a method that aims at transporting a source distribution of images (e.g. pasted images) to a target distribution (e.g. relighted images). 🤗Demo: huggingface.co/spaces/jaspe...
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Clément Chadebec @clementchadebec.bsky.social · 13/05/2025
📢 Latent Bridge Matching update! 📢 New Jasper Research release 🚀 - 3 LBM models on @hf.co (relighting, depth, normals) - LBM training code Also see our @gradio-hf.bsky.social space for object relighting! 🤗 huggingface.co/jasperai/LBM... 💻 github.com/gojasper/LBM 📗 arxiv.org/abs/2503.07535
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
@onurxtasar.bsky.social @jeev2.bsky.social @benjaminaubin.bsky.social @damien-henry.bsky.social
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
… finally, we also consider common tasks such as normal and depth estimation where the model should translate an input image into a normal or depth map
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
... 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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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
... and image restoration 🧹 where the model must transport the distribution of the degraded images to the distribution of the clean images …
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
… but also object removal ✂️ where the model is trained to find a transport map from the masked images to the images without the objects …
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
During training, we also introduce a pixel loss that consists of decoding the estimated target latent and comparing it to the real target image. We found that LPIPS works well in practice and speeds up domain shift. We validate the method for object relighting 🔦...
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
We encode paired images into the latent space and bridge the latents 🌉. A timestep is drawn from a well chosen distribution. The latent on the trajectory at this timestep is then passed to the denoiser which predicts the drift of the associated Stochastic Differential Equation.
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
In the proposed LBM method, we propose to encode the source and target image into a latent space and then build a stochastic path called a Brownian Bridge 🌉 between them. In particular, the stochasticity of these paths makes the method differ from flow matching.
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Clément Chadebec @clementchadebec.bsky.social · 13/03/2025
Excited to share our new research at Jasper Research! 🚀 LBM: Latent Bridge Matching for Fast Image-to-Image Translation Try out our @hf.co space for object relighting! 🤗 @gradio-hf.bsky.social demo: huggingface.co/spaces/jaspe... 👉 Paper: arxiv.org/abs/2503.07535 💻 Repo: github.com/gojasper/LBM
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Reposted by Clément Chadebec
Arnaud Doucet @arnauddoucet.bsky.social · 15/12/2024
The slides of my NeurIPS lecture "From Diffusion Models to Schrödinger Bridges - Generative Modeling meets Optimal Transport" can be found here drive.google.com/file/d/1eLa3...
drive.google.com
BreimanLectureNeurIPS2024_Doucet.pdf
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Reposted by Clément Chadebec
onurxtasar.bsky.social @onurxtasar.bsky.social · 17/12/2024
Jasper research is releasing their latest research. Our 1-step diffusion model can create realistic shadows for object images in under a second, while giving you control over shadow direction, softness, intensity 👇 @clementchadebec.bsky.social, @benjaminaubin.bsky.social, @damien-henry.bsky.social
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Clément Chadebec @clementchadebec.bsky.social · 12/12/2024
💻 Code: github.com/gojasper/fla...
github.com
GitHub - gojasper/flash-diffusion: ⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025)
⚡ Flash Diffusion ⚡: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation (AAAI 2025) - gojasper/flash-diffusion
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Clément Chadebec @clementchadebec.bsky.social · 12/12/2024
🤗 @hf.co models and @gradio-hf.bsky.social demo: huggingface.co/collections/... @onurxtasar.bsky.social @benjaminaubin.bsky.social @damien-henry.bsky.social
huggingface.co
Flash Diffusion - a jasperai Collection
Collection of models distilled using the method proposed in Flash Diffusion paper
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Clément Chadebec @clementchadebec.bsky.social · 12/12/2024
🎉 Very happy to share that Jasper Research's very first research paper, Flash Diffusion just got accepted to AAAI 2025. This paper introduces a novel and flexible distillation method designed to speed up image generation with diffusion models. 👉 Paper: arxiv.org/abs/2406.02347
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