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20102026
most citedToward Multimodal Image-to-Image Translation

1k citations

Showing 2024 · cs.CVShow all

13 papers · 2 filters

cs.CV2024★ 2 cited

MaterialPicker: Multi-Modal DiT-Based Material Generation

Xiaohe Ma, Valentin Deschaintre, Miloš Hašan +4

High-quality material generation is key for virtual environment authoring and inverse rendering. We propose MaterialPicker, a multi-modal material generator leveraging a Diffusion…

cs.CV2024★ 4 cited

Neural Product Importance Sampling via Warp Composition

Joey Litalien, Miloš Hašan, Fujun Luan +2

Achieving high efficiency in modern photorealistic rendering hinges on using Monte Carlo sampling distributions that closely approximate the illumination integral estimated for eve…

cs.CV2024★ 17 cited

A Diffusion Approach to Radiance Field Relighting using Multi-Illumination Synthesis

Yohan Poirier-Ginter, Alban Gauthier, Julien Philip +2

Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scen…

cs.CV2024★ 3 cited

Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era

Xiaowei Hu, Zhenghao Xing, Tianyu Wang +2

Shadows, formed by the occlusion of light, play an essential role in visual perception and directly influence scene understanding, image quality, and visual realism. This paper pre…

cs.CV2024★ 1 cited

Pattern Guided UV Recovery for Realistic Video Garment Texturing

Youyi Zhan, Tuanfeng Y. Wang, Tianjia Shao +1

The fast growth of E-Commerce creates a global market worth USD 821 billion for online fashion shopping. What unique about fashion presentation is that, the same design can usually…

cs.CV2024★ 2 cited

Speech2UnifiedExpressions: Synchronous Synthesis of Co-Speech Affective Face and Body Expressions from Affordable Inputs

Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha

We present a multimodal learning-based method to simultaneously synthesize co-speech facial expressions and upper-body gestures for digital characters using RGB video data captured…