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InstantFusion: A Shared Latent Interface for Heterogeneous Image Generators

Paper recorded by Signals 4 on 2026-10-09 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-09 on arXiv · recorded by Signals 4 on 2026-10-12

Category: cs.CV · 计算机视觉 · first seen 2026-10-12

Abstract

Diffusion/flow models have emerged as the de facto paradigms for image generation, giving rise to a diverse family of modern generators with increasingly heterogeneous architectures and representations. Despite their remarkable generation capabilities, the cross-model alignment of latent representations and the consistency of their underlying denoising dynamics remain underexplored. In this work,

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#292 most recent of 756 cs.CV papers we have recorded · ↑ newer: Splat2Act: From Captured Scenes to Personalized VLA Manipulation · ↓ older: Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback
Cite this page: InstantFusion: A Shared Latent Interface for Heterogeneous Image Generators: the #292 most recent of 756 cs.CV papers we have recorded (as of 2026-10-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/instantfusion-a-shared-latent-interface-for-heterogeneous-image-generators.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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