Stable-Layers: Fine-Tuning Image Layer Decomposition Models with VLM-Scored Reinforcement Learning
An RL framework that fine-tunes image layer decomposition models using VLM-as-judge rewards, eliminating paired supervision.
ciara-rowles
Mark Boss
Co-Head of 3D & Image
I’m a research lead in 3D at Stability AI with research interests in the intersection
of machine learning and computer graphics.
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1 min read
OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under Optimal Squared Error Quantization
A rotation-preconditioned KV cache codec that jointly quantizes coordinate triplets via an octahedral map, achieving state-of-the-art compression across text, video, and audio …
ReLi3D: Relightable Multi-view 3D Reconstruction with Disentangled Illumination
A unified feed-forward pipeline for relightable 3D reconstruction from sparse views in under one second.
jan-niklas-dihlmann
ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction.
Distribution matching is central to many vision and graphics tasks, where the widely used Wasserstein distance is too costly to compute for high dimensional distributions. The …
SViM3D: Stable Video Material Diffusion for Single Image 3D Generation
We present Stable Video Materials 3D (SViM3D), a framework to predict multi-view consistent physically based rendering (PBR) materials, given a single image. Recently, video …
andreas-engelhardt
MARBLE: Material Recomposition and Blending in CLIP-Space
Editing materials of objects in images based on exemplar images is an active area of research in computer vision and graphics. We propose MARBLE, a method for performing material …
ta-ying-cheng
Stable Virtual Camera: Generative View Synthesis with Diffusion Models
We present Stable Virtual Camera (Seva), a generalist diffusion model that creates novel views of a scene, given any number of input views and target cameras. Existing works …
jensen-zhou
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
We study the problem of single-image 3D object reconstruction. Recent works have diverged into two directions: regression-based modeling and generative modeling. Regression methods …
zixuan-huang
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
We present SF3D, a novel method for rapid and high-quality textured mesh reconstruction from a single image. Utilizing the Large Reconstruction Model (LRM) as its foundation, SF3D …