Search Results - "Computing methodologies Computer graphics"

RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering by Li, Chaojian, Li, Sixu, Zhao, Yang, Zhu, Wenbo, Lin, Yingyan

“…Neural Radiance Field (NeRF) based rendering has attracted growing attention thanks to its state-of-the-art (SOTA) rendering quality and wide applications in…”
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Reactive Gaze during Locomotion in Natural Environments by Melgare, J. K., Rohmer, D., Musse, S. R., Cani, M‐P.

“…Animating gaze behavior is crucial for creating believable virtual characters, providing insights into their perception and interaction with the environment…”
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Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing by Saed, Mohammadreza, Chou, Yuan Hsi, Liu, Lufei, Nowicki, Tyler, Aamodt, Tor M.

“…Ray tracing can generate photorealistic images with more convincing visual effects compared to rasterization. Recent hardware advances have enabled ray tracing…”
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Trends in augmented reality tracking, interaction and display: A review of ten years of ISMAR by Feng Zhou, Duh, Henry Been-Lirn, Billinghurst, Mark

“…Although Augmented Reality technology was first developed over forty years ago, there has been little survey work giving an overview of recent research in the…”
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AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns by Zhao, Wenqian, Yao, Xufeng, Yu, Ziyang, Chen, Guojin, Ma, Yuzhe, Yu, Bei, Wong, Martin D.F.

“…Optical proximity correction (OPC) is a widely-used resolution enhancement technique (RET) for printability optimization. Recently, rigorous numerical…”
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SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity by Fan, Zichen, Dai, Steve, Venkatesan, Rangharajan, Sylvester, Dennis, Khailany, Brucek

“…Diffusion models have gained significant popularity in image generation tasks. However, generating high-quality content remains notably slow because it…”
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GSAcc: Accelerate 3D Gaussian Splatting via Depth Speculation and Gaussian-centric Rasterization by Yang, Mengtian, Wang, Yipeng, Lo, Chieh-Pu, Zhang, Xiuhao, Oruganti, Sirish, Kulkarni, Jaydeep P.

“…D Gaussian Splatting (3DGS) has emerged as a promising real-time photorealistic radiance field rendering technique. Existing GPU and hardware accelerators face…”
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MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization by Qi, Chunyu, Wang, Xuhang, Chen, Ruiyang, Yao, Yuanzheng, Jing, Naifeng, Zhang, Chen, Wang, Jun, Fu, Zhihui, Liang, Xiaoyao, Song, Zhuoran

“…Diffusion models have demonstrated superior performance in image generation tasks, thus becoming the mainstream model for generative visual tasks. Diffusion…”
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SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU by Yao, Yuanzheng, Zhang, Chen, Qi, Chunyu, Chen, Ruiyang, Wang, Jun, Fu, Zhihui, Jing, Naifeng, Liang, Xiaoyao, Song, Zhuoran

“…Vision Transformers (ViTs) have demonstrated remarkable performance in computer vision tasks by effectively extracting global features. However, their…”
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Curvilinear Optical Proximity Correction via Cardinal Spline by Zheng, Su, Liang, Xiaoxiao, Yu, Ziyang, Ma, Yuzhe, Yu, Bei, Wong, Martin

“…This paper presents a novel curvilinear optical proximity correction (OPC) framework. The proposed approach involves representing mask patterns with control…”
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ADAPT: AI‐Driven Artefact Purging Technique for IMU Based Motion Capture by Schreiner, P., Netterstrøm, R., Yin, H., Darkner, S., Erleben, K.

“…While IMU based motion capture offers a cost‐effective alternative to premium camera‐based systems, it often falls short in matching the latter's realism…”
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LVM-MO: A Large Vision Model Pioneer on Full-Chip Mask Optimization by Wu, Yiwen, Chen, Yuyang, Yin, Shuo, Wang, Nan, Wu, Tao, He, Xuming, Geng, Hao, Yu, Jingyi

“…Moving toward the post-Moore era, full-chip mask optimization (MO) has become a pivotal step for semiconductor designers and manufacturers in extending current…”
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Boustrophedonic Frames: Quasi-Optimal L2 Caching for Textures in GPUs by Joseph, Diya, Aragon, Juan L., Parcerisa, Joan-Manuel, Gonzalez, Antonio

“…Literature is plentiful in works exploiting cache locality for GPUs. A majority of them explore replacement or bypassing policies. In this paper, however, we…”
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Cambricon-D: Full-Network Differential Acceleration for Diffusion Models by Kong, Weihao, Hao, Yifan, Guo, Qi, Zhao, Yongwei, Song, Xinkai, Li, Xiaqing, Zou, Mo, Du, Zidong, Zhang, Rui, Liu, Chang, Wen, Yuanbo, Jin, Pengwei, Hu, Xing, Li, Wei, Xu, Zhiwei, Chen, Tianshi

“…Diffusion models have made significant progress in current image generation tasks, thus becoming a prominent area of research. Diffusion models necessitate…”
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GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting by Li, Sixu, Keller, Ben, Lin, Yingyan Celine, Khailany, Brucek

“…3D intelligence leverages rich 3D features and stands as a promising frontier in AI, with 3D rendering fundamental to many downstream applications. 3D Gaussian…”
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GS-TG: 3D Gaussian Splatting Accelerator with Tile Grouping for Reducing Redundant Sorting while Preserving Rasterization Efficiency by Jo, Joongho, Park, Jongsun

“…3D Gaussian Splatting (3D-GS) has emerged as a promising alternative to neural radiance fields (NeRF) as it offers high speed as well as high image quality in…”
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PARO: Hardware-Software Co-design with Pattern-aware Reorder-based Attention Quantization in Video Generation Models by Yang, Xinhao, Zhao, Tianchen, Wang, Hongyi, Ma, Wenheng, Zeng, Shulin, Zhu, Zhenhua, Ning, Xuefei, Yang, Huazhong, Wang, Yu

“…Transformer-based video generation models have demonstrated significant potential in content creation. However, the current state-of-the-art model employing "…”
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Style: Stylized Gaussian Splatting by Kovács, Áron Samuel, Hermosilla, Pedro, Raidou, Renata G.

“…We introduce 𝒢‐Style, a novel algorithm designed to transfer the style of an image onto a 3D scene represented using Gaussian Splatting. Gaussian Splatting is…”
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DCDiff: Enhancing JPEG Compression via Diffusion-based DC Coefficients Estimation by Zhang, Ziyuan, Qiu, Han, Zhang, Tianwei, Chen, Bin, Zhang, Chao

“…JPEG is the most widely-used image compression method on low-cost cameras which cannot support learning-based compressors. One promising approach to enhance…”
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DM-Tune: Quantizing Diffusion Models with Mixture-of-Gaussian Guided Noise Tuning by Haghi, Pouya, Falahati, Ali, Azad, Zahra, Wu, Chunshu, Song, Ruibing, Liu, Chuan, Li, Ang, Geng, Tong

“…Diffusion models have become essential generative tools for tasks such as image generation, video creation, and inpainting, but their high computational and…”
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