· ai
[Paper] Snapshot 3D image projection using a diffractive decoder
3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diff...
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[Paper] Generative Digital Twins: Vision-Language Simulation Models for Executable Industrial Systems
We propose a Vision-Language Simulation Model (VLSM) that unifies visual and textual understanding to synthesize executable FlexScript from layout sketches and ...
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[Paper] The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding
Deep representations across modalities are inherently intertwined. In this paper, we systematically analyze the spectral characteristics of various semantic and...
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[Paper] Interact2Ar: Full-Body Human-Human Interaction Generation via Autoregressive Diffusion Models
Generating realistic human-human interactions is a challenging task that requires not only high-quality individual body and hand motions, but also coherent coor...
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[Paper] Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning
We introduce Perception Encoder Audiovisual, PE-AV, a new family of encoders for audio and video understanding trained with scaled contrastive learning. Built o...
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[Paper] Visual-Aware CoT: Achieving High-Fidelity Visual Consistency in Unified Models
Recently, the introduction of Chain-of-Thought (CoT) has largely improved the generation ability of unified models. However, it is observed that the current thi...
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[Paper] Zero-shot Reconstruction of In-Scene Object Manipulation from Video
We build the first system to address the problem of reconstructing in-scene object manipulation from a monocular RGB video. It is challenging due to ill-posed s...
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[Paper] From Indoor to Open World: Revealing the Spatial Reasoning Gap in MLLMs
While Multimodal Large Language Models (MLLMs) have achieved impressive performance on semantic tasks, their spatial intelligence--crucial for robust and ground...
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[Paper] VA-$π$: Variational Policy Alignment for Pixel-Aware Autoregressive Generation
Autoregressive (AR) visual generation relies on tokenizers to map images to and from discrete sequences. However, tokenizers are trained to reconstruct clean im...
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[Paper] WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion
Generating long-range, geometrically consistent video presents a fundamental dilemma: while consistency demands strict adherence to 3D geometry in pixel space, ...
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[Paper] Efficient Vision Mamba for MRI Super-Resolution via Hybrid Selective Scanning
Background: High-resolution MRI is critical for diagnosis, but long acquisition times limit clinical use. Super-resolution (SR) can enhance resolution post-scan...
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[Paper] Multimodal LLMs for Historical Dataset Construction from Archival Image Scans: German Patents (1877-1918)
We leverage multimodal large language models (LLMs) to construct a dataset of 306,070 German patents (1877-1918) from 9,562 archival image scans using our LLM-b...