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20232026
most citedBayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference

1 citations · 2 across the 11 of their papers we have counts for

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cs.CV2026

Residual-Stream Burden Shapes Representation Learning in Diffusion Transformers

Tongtong Liang, Siqi Kou, Ziqiao Xi +6

In diffusion-based generation, a neural network can be trained to predict the clean data, the noise, or the velocity from a noisy input. These prediction targets are interconvertib…

cs.CV2026

MirrorPPR: Exemplar-Based Portrait Photo Retouching

Zhihong Liu, Zheng Li, Jiachun Jin +4

While text-guided image editing has made remarkable progress, it remains limited in structural portrait retouching. Textual descriptions struggle to convey fine-grained changes to…

cs.RO2026

World-Language-Action Model for Unified World Modeling, Language Reasoning, and Action Synthesis

Yi Yang, Zhihong Liu, Siqi Kou +9

We propose world-language-action (WLA) models as a new class of embodied foundation models. WLA takes textual instructions, images, and robot states as inputs to jointly predict te…

cs.CV2026

ProductWebGen: Benchmarking Multimodal Product Webpage Generation

Zhihong Liu, Siqi Kou, Zheng Li +5

Crafting a product display webpage from a source product image, along with layout and visual content instructions, holds significant practical value for domains such as marketing,…

cs.CV2026

Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders

Siqi Kou, Jiachun Jin, Zetong Zhou +8

Recent progress in text-to-image (T2I) diffusion models (DMs) has enabled high-quality visual synthesis from diverse textual prompts. Yet, most existing T2I DMs, even those equippe…