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20232026
most citedFine-grained Appearance Transfer with Diffusion Models

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

RealSkin: Spatio-Spectral Partial Neural Adjoint Maps for Image-to-3D Attribute Transfer

Jing Li, Yawei Luo, Xiangze Meng +3

Creating photorealistic 3D assets requires bridging the appearance gap between real-world observations and synthetic models. A promising approach is to transfer visual attributes f…

cs.CV2026

AIR: Amortized Image Reconstruction Framework for Self-Supervised Feed-Forward 2D Gaussian Splatting

Zhaojie Zeng, Yuesong Wang, Yawei Luo +1

2D Gaussian splatting provides an efficient explicit representation for image reconstruction, but existing methods still require costly per-image iterative optimization or rely on…

cs.CV2025

SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding

Yangliu Hu, Zikai Song, Na Feng +4

Video-based Large Language Models (Video-LLMs) have witnessed substantial advancements in recent years, propelled by the advancement in multi-modal LLMs. Although these models have…

cs.CV2024

Ref-GS: Directional Factorization for 2D Gaussian Splatting

Youjia Zhang, Anpei Chen, Yumin Wan +4

In this paper, we introduce Ref-GS, a novel approach for directional light factorization in 2D Gaussian splatting, which enables photorealistic view-dependent appearance rendering…

cs.CV2023

Optimized View and Geometry Distillation from Multi-view Diffuser

Youjia Zhang, Zikai Song, Junqing Yu +2

Generating multi-view images from a single input view using image-conditioned diffusion models is a recent advancement and has shown considerable potential. However, issues such as…

cs.CV2023★ 1 cited

Fine-grained Appearance Transfer with Diffusion Models

Yuteng Ye, Guanwen Li, Hang Zhou +7

Image-to-image translation (I2I), and particularly its subfield of appearance transfer, which seeks to alter the visual appearance between images while maintaining structural coher…