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20102026
most citedToward Multimodal Image-to-Image Translation

1k citations

Showing 2024Show all

35 papers · 1 filter

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.AI2024

ScaleViz: Scaling Visualization Recommendation Models on Large Data

Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4

Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…

cs.AR2024★ 6 cited

LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference

Yanyue Xie, Zhengang Li, Dana Diaconu +3

For FPGA-based neural network accelerators, digital signal processing (DSP) blocks have traditionally been the cornerstone for handling multiplications. This paper introduces LUTMU…

cs.GR2024★ 2 cited

The evolution of volumetric video: A survey of smart transcoding and compression approaches

Preetish Kakkar, Hariharan Ragothaman

Volumetric video, the capture and display of three-dimensional (3D) imagery, has emerged as a revolutionary technology poised to transform the media landscape, enabling immersive e…

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…

eess.AS2024★ 1 cited

Code Drift: Towards Idempotent Neural Audio Codecs

Patrick O'Reilly, Prem Seetharaman, Jiaqi Su +2

Neural codecs have demonstrated strong performance in high-fidelity compression of audio signals at low bitrates. The token-based representations produced by these codecs have prov…