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Guisheng Liu

4 accepted papers

2026

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

CVPR 2026

Human-product images, which showcase the integration of humans and products, play a vital role in advertising, e-commerce, and digital marketing. The essential challenge of generating such images lies in ensuring the high-fidelity preservation of product details. Among existing paradigms, reference-

Cited by 0SourcecodeScholar
2026

OmniShow: Orchestrating Multimodal Conditions for Human-Object Interaction Video Generation

ICML 2026poster

In this work, we study **Human-Object Interaction Video Generation (HOIVG)**, which aims to synthesize high-quality HOI videos via text, reference image, audio, and pose conditions. To address the challenges of harmonious multimodal injection and heterogeneous data utility, we present **OmniShow**, …

Cited by 0SourceScholar
2024

Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning

COLING 2024main

While impressive performance has been achieved in image captioning, the limited diversity of the generated captions and the large parameter scale remain major barriers to the real-word application of these systems. In this work, we propose a lightweight image captioning network in combination with c…

2022

Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator

COLING 2022main

Though existing researches have achieved impressive results in controlled text generation, they focus mainly on single-attribute control. However, in applications like automatic comments, the topic and sentiment need to be controlled simultaneously. In this work, we propose a new framework for multi…

Cited by 5SourcePDFScholar