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Wenqi Ouyang

7 accepted papers

2025

GenColor: Generative and Expressive Color Enhancement with Pixel-Perfect Texture Preservation

NeurIPS 2025spotlight

Color enhancement is a crucial yet challenging task in digital photography. It demands methods that are (i) expressive enough for fine-grained adjustments, (ii) adaptable to diverse inputs, and (iii) able to preserve texture. Existing approaches typically fall short in at least one of these aspects,…

Cited by 0SourceScholar
2025

TokensGen: Harnessing Condensed Tokens for Long Video Generation

ICCV 2025poster

Generating consistent long videos is a complex challenge: while diffusion-based generative models generate visually impressive short clips, extending them to longer durations often leads to memory bottlenecks and long-term inconsistency. In this paper, we propose TokensGen, a novel two-stage framewo…

Cited by 0SourcePDFScholar
2025

Trajectory attention for fine-grained video motion control

ICLR 2025poster

Recent advancements in video generation have been greatly driven by video diffusion models, with camera motion control emerging as a crucial challenge in creating view-customized visual content. This paper introduces trajectory attention, a novel approach that performs attention along available pixe…

Cited by 0SourcePDFScholar
2025

WorldMem: Long-term Consistent World Simulation with Memory

NeurIPS 2025poster

World simulation has gained increasing popularity due to its ability to model virtual environments and predict the consequences of actions. However, the limited temporal context window often leads to failures in maintaining long-term consistency, particularly in preserving 3D spatial consistency. In…

Cited by 0SourceScholar
2024

ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing

AAAI 2024technical

Digital image enhancement aims to deliver visually striking, pleasing images that align with human perception. While global techniques can elevate the image's overall aesthetics, fine-grained color enhancement can further boost visual appeal and expressiveness. However, colorists frequently face cha…

Cited by 1SourcePDFScholar
2023

DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders

ICCV 2023poster

Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic colors and low color richness. While transformer-based methods can deliver better results, they often rely on manually design…

Cited by 64PDFcodeScholar
2023

RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters

ICCV 2023poster

Retouching images is an essential aspect of enhancing the visual appeal of photos. Although users often share common aesthetic preferences, their retouching methods may vary based on their individual preferences. Therefore, there is a need for white-box approaches that produce satisfying results and…

Cited by 14PDFcodeScholar