Image Generation

Dense visual text requires image generators to reproduce long strings across multiple regions with correct placement and legibility. As short-string rendering improves, evaluation must test sustained performance across m…

Image Generation

Inverting Multi-Vector Visual Document Indices

2026-10-07 · Zhuchenyang Liu, Yao Zhang, Yu Xiao hf

Prevailing multi-vector visual document retrievers store each page as about a thousand patch vectors, often in vector databases run by a third party. Since no one can read a page from its vectors, this index is easily tr…

Image Generation

Sphere Encoder 2

2026-10-01 · Kaiyu Yue, Sean McLeish, Ruchit Rawal, Brian Bartoldson 외 arxiv

Sphere Encoder is an autoencoder that generates images by decoding random points from a high-dimensional latent sphere. We identify two limitations of the original formulation that reduce its generation quality. First, r…

Image Generation

Embedding Prediction Helps Image Generation

2026-10-01 · Sihan Xu, Ji Xie, Zilin Wang, Hui Shen 외 arxiv

In diffusion transformers, a class label or a text prompt is embedded once, and the same condition is reused at every denoising step. We ask whether predicted embeddings can serve as this condition instead. Next-Embeddin…

Image Generation

Form and Void: Entangled Composition through an Autonomous AI Agent

2026-10-01 · Shiwen Wang, Jian Yang, Xu Wang, Xincan Wang 외 arxiv

Positive and negative space is a fundamental principle in visual composition, supporting visually coherent forms and layered semantic relationships. Generating such compositions is challenging because it requires coordin…

Image Generation

VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations

2026-10-01 · Xianda Du, Max Ku, Weiming Ren, Zhi Rui Tam 외 hf

Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it. We introduce VIEScore2, a unified evaluator for image generation and editing tasks …

Image Generation

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