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Jingwei Wu

2 accepted papers

2026

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale

ICLR 2026oral

Prevailing autoregressive (AR) models for text-to-image generation either rely on heavy, computationally-intensive diffusion models to process continuous image tokens, or employ vector quantization (VQ) to obtain discrete tokens with quantization loss. In this paper, we push the autoregressive parad…

Cited by 0SourcecodeScholar
2026

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

CVPR 2026

Story visualization aims to generate coherent image sequences that faithfully represent a narrative and match given character references. Despite progress in generative models, existing benchmarks remain narrow in scope, often limited to short prompts, lacking character references, or single-image c

Cited by 0SourcecodeScholar