Mistral AI
Feb 4
Voxtral
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Mistral AI
Mar 23
Speaking of Voxtral
Voxtral TTS: A frontier, open-weights text-to-speech model that’s fast, instantly adaptable, and produces lifelike speech for voice agents.
arXiv Machine Learning
Jun 2
DVD: Discrete Voxel Diffusion for 3D Generation and Editing
arXiv:2605. 07971v2 Announce Type: replace-cross Abstract: We introduce Discrete Voxel Diffusion (DVD), a discrete diffusion framework to generate, assess, and edit sparse voxels for SLat (Structured LATent) based 3D generative pipelines.
Mistral AI
Oct 20
Voxtral 3
Voxtral 3 is Mistral AI’s voice‑agent SDK that enables real‑time speech processing in over 50 languages. It offers accurate transcription, emotionally expressive text‑to‑speech, and deep tool‑use capabilities. The SDK can be hosted in the EU or self‑deployed by users.
arXiv Computer Vision
Oct 2
Uncertainty-Aware RL-Controlled Adaptive 3D Mapping
arXiv:2610.00188v1 Announce Type: cross Abstract: Voxel-based volumetric mapping is fundamental to 3D reconstruction, yet fixed-resolution grids remain inherently inefficient - wasting memory in unif...
Hugging Face Trending Papers
Jun 23
Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms
Three-dimensional scene completion has evolved as a major problem in computer vision and robotics, and its applications are diverse, including autonomous navigation and augmented reality. In this study, a systematic review has been conducted to compile the research contributions made in the last ten years, i.
arXiv AI
Jul 15
Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
arXiv:2607. 12752v1 Announce Type: cross Abstract: While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely on 2D diffusion supervision without explicit mechanisms for geometric consistency, leading to spatial hallucinations such as duplicated structures and misaligned geometry.
arXiv AI
Jun 24
Deep Learning Approaches for 3D Medical Scene Completion: From Geometric Modeling to Generative Paradigms
arXiv:2606. 24180v1 Announce Type: cross Abstract: Three-dimensional scene completion has evolved as a major problem in computer vision and robotics, and its applications are diverse, including autonomous navigation and augmented reality.
arXiv AI
Oct 15
StimFlow: Synthesizing Brain Activity from Images via Stimulus-conditioned Flow Matching
arXiv:2610.15341v1 Announce Type: cross Abstract: The inherent variability of fMRI responses across trials encourages a generative view of the stimulus-to-response mapping. Prior generative encoders...
arXiv Machine Learning
Jul 16
HIVE-3D: Hierarchical Voxel Enhancement for High-Quality 3D Scene Generation
arXiv:2607. 13468v1 Announce Type: cross Abstract: Recently, a line of works can generate impressive 3D objects from a single image, but they are limited by restricted representation resolution, making them unsuitable for 3D scene generation.
arXiv Machine Learning
Jun 11
FlexiBrain: Resolution-Agnostic Voxel-Level Encoding for Native fMRI
arXiv:2606. 11500v1 Announce Type: cross Abstract: The success of large-scale deep learning models in neuroscience is fundamentally constrained by severe data heterogeneity.
arXiv Machine Learning
Jun 9
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
arXiv:2510. 05356v2 Announce Type: replace-cross Abstract: Hallucinations in diffusion models are samples with structural inconsistencies that can emerge due to the excessive smoothing of the learned score function, which in turn leads to interpolations between modes of the data distribution.