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Papers for March 30, 2026

10 papers found

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

machine learning

Multi-shot video generation is crucial for long narrative storytelling, yet current bidirectional architectures suffer from limited interactivity and high latency. We propose ShotStream, a novel causal multi-shot architecture that enables interactive storytelling and efficient on-the-fly frame gener...

Keywords: multi-shot video generation, causal generation, distribution matching distillation, dual-cache memory, RoPE discontinuity, interactive storytelling, text-to-video, real-time inference

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

computer vision

Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally limits their scalability, making high-resolution synthesis such as 4K intractable. We introduce LGTM (Less Gaussians, Tex...

Keywords: Gaussian Splatting, feed-forward, 4K, novel view synthesis, per-primitive texture, scalability, rendering

[object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

computer vision

Vision Foundation Models (VFMs) have become the cornerstone of modern computer vision, offering robust representations across a wide array of tasks. While recent advances allow these models to handle varying input sizes during training, inference typically remains restricted to a single, fixed scale...

Keywords: Multi-Resolution Fusion, MuRF, Vision Foundation Models, multi-scale, inference-time, training-free, feature fusion, DINOv2

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

machine learning

Vision-language-action models have reshaped autonomous driving to incorporate languages into the decision-making process. However, most existing pipelines only utilize the language modality for scene descriptions or reasoning and lack the flexibility to follow diverse user instructions for personali...

Keywords: Vega, InstructScene, vision-language-action, instruction following, diffusion models, autoregressive, joint attention, autonomous driving

[object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

computer vision

Accurate estimation of large displacement optical flow remains a critical challenge. Existing methods typically rely on iterative local search or/and domain-specific fine-tuning, which severely limits their performance in large displacement and zero-shot generalization scenarios. To overcome this, w...

Keywords: optical_flow, zero_shot, large_displacement, Vision_Transformer, global_matching, transfer_learning, motion_estimation, long_range_tracking

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

machine learning

Autoregressive video diffusion models have demonstrated remarkable progress, yet they remain bottlenecked by intractable linear KV-cache growth, temporal repetition, and compounding errors during long-video generation. To address these challenges, we present PackForcing, a unified framework that eff...

Keywords: PackForcing, KV-cache, context compression, video diffusion, long-video generation, Temporal RoPE, VBench

[object Object], [object Object] 3/26/2026 huggingface

machine learning

We introduce iterated beta integrals, a new class of iterated integrals on the universal abelian covering of the punctured projective line that unifies hyperlogarithms and classical beta integrals while preserving their fundamental properties. We establish various analytic properties of these integr...

Keywords: iterated beta integrals, hyperlogarithms, beta integrals, iterated integrals, universal abelian covering, punctured projective line, multiple zeta values, t-values

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

computer vision

Video world models have shown immense potential in simulating the physical world, yet existing memory mechanisms primarily treat environments as static canvases. When dynamic subjects hide out of sight and later re-emerge, current methods often struggle, leading to frozen, distorted, or vanishing su...

Keywords: Hybrid Memory, video world models, HyDRA, HM-World, spatiotemporal retrieval, dynamic subject tracking, video generation, memory compression

[object Object], [object Object] 3/26/2026 huggingface

machine learning

Consider a topological surface Σ. We introduce the spectrum of a representation from the fundamental group of Σ to SL(2,R), which is a subset of projective measured lamination on the surface, which captures the directions along which the representation fails to be Fuchsian, and which characterizes t...

Keywords: SL(2,R), spectrum, projective measured lamination, once-punctured torus, Cantor set, mapping class group, interval exchange transformation, cocycles

[object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object] 3/26/2026 huggingface

machine learning

High-resolution brain imaging can now capture not just synapse locations but their molecular composition, with the cost of such mapping falling exponentially. Yet such ultrastructural data has so far told us little about local neuronal physiology - specifically, the parameters (e.g., synaptic effica...

Keywords: ultrastructure-to-dynamics compiler, molecularly annotated ultrastructure, physiological parameters, simulator-ready, uncertainty-aware, paired training data, biophysical simulations, structure-to-function
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