Search Results for author: Yiren Song

Found 16 papers, 9 papers with code

LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer

1 code implementation3 Feb 2025 Yiren Song, Danze Chen, Mike Zheng Shou

Generating cognitive-aligned layered SVGs remains challenging due to existing methods' tendencies toward either oversimplified single-layer outputs or optimization-induced shape redundancies.

Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

no code implementations27 Jan 2025 Hailong Guo, Bohan Zeng, Yiren Song, Wentao Zhang, Chuang Zhang, Jiaming Liu

However, the scarcity of paired garment-model data makes it challenging for existing methods to achieve high generalization and quality in VTON.

Position Virtual Try-on

DiffSim: Taming Diffusion Models for Evaluating Visual Similarity

1 code implementation19 Dec 2024 Yiren Song, Xiaokang Liu, Mike Zheng Shou

Diffusion models have fundamentally transformed the field of generative models, making the assessment of similarity between customized model outputs and reference inputs critically important.

Contrastive Learning Denoising +3

Grid: Omni Visual Generation

1 code implementation14 Dec 2024 Cong Wan, Xiangyang Luo, Hao Luo, Zijian Cai, Yiren Song, Yunlong Zhao, Yifan Bai, Yuhang He, Yihong Gong

Visual generation has witnessed remarkable progress in single-image tasks, yet extending these capabilities to temporal sequences remains challenging.

Image Generation Scheduling +1

Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation

1 code implementation8 Dec 2024 Yiren Song, Shengtao Lou, Xiaokang Liu, Hai Ci, Pei Yang, Jiaming Liu, Mike Zheng Shou

Diffusion models have revolutionized generative modeling with their exceptional ability to produce high-fidelity images.

Image Watermarks are Removable Using Controllable Regeneration from Clean Noise

no code implementations7 Oct 2024 Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, Yuheng Bu

Our primary insight involves regenerating the watermarked image starting from a clean Gaussian noise via a controllable diffusion model, utilizing the extracted semantic and spatial features from the watermarked image.

Attribute Denoising

Stable-Hair: Real-World Hair Transfer via Diffusion Model

1 code implementation19 Jul 2024 Yuxuan Zhang, Qing Zhang, Yiren Song, Jichao Zhang, Hao Tang, Jiaming Liu

In the second stage, we specifically designed a Hair Extractor and a Latent IdentityNet to transfer the target hairstyle with highly detailed and high-fidelity to the bald image.

Triplet

Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?

no code implementations13 Jun 2024 Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou

Digital watermarking techniques are crucial for copyright protection and source identification of images, especially in the era of generative AI models.

Steganalysis

ProcessPainter: Learn Painting Process from Sequence Data

no code implementations10 Jun 2024 Yiren Song, Shijie Huang, Chen Yao, Xiaojun Ye, Hai Ci, Jiaming Liu, Yuxuan Zhang, Mike Zheng Shou

The painting process of artists is inherently stepwise and varies significantly among different painters and styles.

Denoising Image Generation

RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification

1 code implementation22 Apr 2024 Hai Ci, Pei Yang, Yiren Song, Mike Zheng Shou

We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method that demonstrates great robustness to various attacks.

Fast Personalized Text-to-Image Syntheses With Attention Injection

no code implementations17 Mar 2024 Yuxuan Zhang, Yiren Song, Jinpeng Yu, Han Pan, Zhongliang Jing

Currently, personalized image generation methods mostly require considerable time to finetune and often overfit the concept resulting in generated images that are similar to custom concepts but difficult to edit by prompts.

Personalized Image Generation Text-to-Image Generation

Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model

1 code implementation12 Mar 2024 Yuxuan Zhang, Lifu Wei, Qing Zhang, Yiren Song, Jiaming Liu, Huaxia Li, Xu Tang, Yao Hu, Haibo Zhao

Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios.

Text-to-Image Generation

SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation

1 code implementation CVPR 2024 Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, Zhongliang Jing

Recent advancements in subject-driven image generation have led to zero-shot generation, yet precise selection and focus on crucial subject representations remain challenging.

Image Generation

CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics

1 code implementation5 Dec 2022 Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Minzhe Li, Zhongliang Jing

Considerable progress has recently been made in leveraging CLIP (Contrastive Language-Image Pre-Training) models for text-guided image manipulation.

Image Manipulation Vector Graphics

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