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Kuan-Chieh Jackson Wang

5 accepted papers

2026

Kontinuous Kontext: Continuous Strength Control for Instruction-based Image Editing

Rishubh Parihar, Or Patashnik, Daniil Ostashev, Venkatesh Babu Radhakrishnan, Daniel Cohen-Or, Kuan-Chieh Jackson Wang
CVPR 2026

Instruction-based image editing offers a powerful and intuitive way to manipulate images through natural language. Yet, relying solely on text instructions limits fine-grained control over the extent of edits. We introduce Kontinuous Kontext, an instruction-driven editing model that provides a new d

Cited by 0Source ↗Scholar ↗
2026

Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization

Tsai-Shien Chen, Aliaksandr Siarohin, Gordon Guocheng Qian, Kuan-Chieh Jackson Wang, Egor Nemchinov, Moayed Haji-Ali +6
CVPR 2026

Visual concept personalization aims to transfer only specific image attributes, such as identity, expression, lighting, and style, into unseen contexts. However, existing methods rely on holistic embeddings from general-purpose image encoders, which entangle multiple visual factors and make it diffi

Cited by 0Source ↗code ↗Scholar ↗
2026

Scaling Group Inference for Diverse and High-Quality Generation

Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Jackson Wang, Kfir Aberman, Srinivasa Narasimhan +1
ICLR 2026poster

Generative models typically sample outputs independently, and recent inference-time guidance and scaling algorithms focus on improving the quality of individual samples. However, in real-world applications, users are often presented with a set of multiple images (e.g., 4-8) for each prompt, where in…

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2026

UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models

Guanlong Jiao, Biqing Huang, Kuan-Chieh Jackson Wang, Renjie Liao
ICLR 2026poster

Flow matching models have emerged as a strong alternative to diffusion models, but existing inversion and editing methods designed for diffusion are often ineffective or inapplicable to them. The straight-line, non-crossing trajectories of flow models pose challenges for diffusion-based approaches b…

Cited by 0Source ↗code ↗Scholar ↗