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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.CV2026

MetaView: Monocular Novel View Synthesis with Scale-Aware Implicit Geometry Priors

Yufei Cai, Xuesong Niu, Hao Lu +3

MetaView is a diffusion-based framework that generates novel views from a single image by combining implicit geometry priors with metric depth cues, enabling large viewpoint change…

cs.CV2026

Boosting Latent Diffusion Models via Disentangled Representation Alignment

John Page, Xuesong Niu, Kai Wu +1

Latent Diffusion Models (LDMs) rely heavily on the compressed latent space provided by Variational Autoencoders (VAEs) for high-quality image generation. Recent studies have attemp…

cs.CV2025

Visual Generation Tuning

Jiahao Guo, Sinan Du, Jingfeng Yao +7

Large Vision Language Models (VLMs) effectively bridge the modality gap through extensive pretraining, acquiring sophisticated visual representations aligned with language. However…

cs.CV2025

VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction

Sinan Du, Jiahao Guo, Bo Li +8

Unifying multimodal understanding, generation and reconstruction representation in a single tokenizer remains a key challenge in building unified models. Previous research predomin…

cs.CV2025

A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space

Huijie Liu, Shuhao Cui, Haoxiang Cao +3

Innovative visual stylization is a cornerstone of artistic creation, yet generating novel and consistent visual styles remains a significant challenge. Existing generative approach…

cs.CV2025

Group Relative Attention Guidance for Image Editing

Xuanpu Zhang, Xuesong Niu, Ruidong Chen +6

Recently, image editing based on Diffusion-in-Transformer models has undergone rapid development. However, existing editing methods often lack effective control over the degree of…