College of Computing and Data Science (CCDS)

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

1,571 to 1,580 of 5,121 Results

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation Sep 27, 2024 - S-Lab for Advanced Intelligence Lan, Yushi; Fangzhou Hong; Shuai Yang; Shangchen Zhou; Bo Dai; Xingang Pan; Chen Change Loy, 2024, "LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation", https://doi.org/10.21979/N9/UZ06ZG, DR-NTU (Data), V1 The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework ca...
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance Sep 27, 2024 - S-Lab for Advanced Intelligence Chen, Yongwei; Wang, Tengfei; Wu, Tong; Pan, Xingang; Jia, Kui; Liu, Ziwei, 2024, "ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance", https://doi.org/10.21979/N9/BAZCX6, DR-NTU (Data), V1 Generating high-quality 3D assets from a given image is highly desirable in various applications such as AR/VR. Recent advances in single-image 3D generation explore feed-forward models that learn to infer the 3D model of an object without optimization. Though promising results h...
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation Sep 26, 2024 - S-Lab for Advanced Intelligence Tang, Jiaxiang; Chen, Zhaoxi; Chen, Xiaokang; Wang, Tengfei; Zeng, Gang; Liu, Ziwei, 2024, "LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation", https://doi.org/10.21979/N9/27JLJB, DR-NTU (Data), V1 3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Lar...
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation Sep 25, 2024 - S-Lab for Advanced Intelligence Lan, Mengcheng; Chen, Chaofeng; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2024, "ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation", https://doi.org/10.21979/N9/YY8L5O, DR-NTU (Data), V1 Open-vocabulary semantic segmentation requires models to effectively integrate visual representations with open-vocabulary semantic labels. While Contrastive Language-Image Pre-training (CLIP) models shine in recognizing visual concepts from text, they often struggle with segment...
ProxyCLIP.pdf Sep 25, 2024 - ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation Adobe PDF - 3.5 MB - MD5: 396eed51abcc20b34e2a977c570d33ee
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference Sep 25, 2024 - S-Lab for Advanced Intelligence Lan, Mengcheng; Chen, Chaofeng; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2024, "ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference", https://doi.org/10.21979/N9/S6NTDJ, DR-NTU (Data), V1 Despite the success of large-scale pretrained Vision-Language Models (VLMs) especially CLIP in various open-vocabulary tasks, their application to semantic segmentation remains challenging, producing noisy segmentation maps with mis-segmented regions. In this paper, we carefully...
ClearCLIP.pdf Sep 25, 2024 - ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference Adobe PDF - 4.7 MB - MD5: ef5b43ea1ec6f6fa4a3204222101b526
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively Sep 25, 2024 - S-Lab for Advanced Intelligence Yuan, Haobo; Li, Xiangtai; Zhou, Chong; Li, Yining; Chen, Kai; Loy, Chen Change, 2024, "Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively", https://doi.org/10.21979/N9/L05ULT, DR-NTU (Data), V1 The CLIP and Segment Anything Model (SAM) are remarkable vision foundation models (VFMs). SAM excels in segmentation tasks across diverse domains, whereas CLIP is renowned for its zero-shot recognition capabilities. This paper presents an in-depth exploration of integrating these...
OpenVoc_SAM.pdf Sep 25, 2024 - Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively Adobe PDF - 3.4 MB - MD5: fa2b0303cf17c6b247314d2a9252040d
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition Sep 25, 2024 - S-Lab for Advanced Intelligence Wu, Tianhao; Zheng, Chuanxia; Wu, Qianyi; Cham, Tat-Jen, 2024, "ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition", https://doi.org/10.21979/N9/RJUHMC, DR-NTU (Data), V1 3D decomposition/segmentation remains a challenge as large-scale 3D annotated data is not readily available. Existing approaches typically leverage 2D machine-generated segments, integrating them to achieve 3D consistency. In this paper, we propose ClusteringSDF, a novel approach...

LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation

Sep 27, 2024 - S-Lab for Advanced Intelligence

Lan, Yushi; Fangzhou Hong; Shuai Yang; Shangchen Zhou; Bo Dai; Xingang Pan; Chen Change Loy, 2024, "LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation", https://doi.org/10.21979/N9/UZ06ZG, DR-NTU (Data), V1

The field of neural rendering has witnessed significant progress with advancements in generative models and differentiable rendering techniques. Though 2D diffusion has achieved success, a unified 3D diffusion pipeline remains unsettled. This paper introduces a novel framework ca...

ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance

Sep 27, 2024 - S-Lab for Advanced Intelligence

Chen, Yongwei; Wang, Tengfei; Wu, Tong; Pan, Xingang; Jia, Kui; Liu, Ziwei, 2024, "ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance", https://doi.org/10.21979/N9/BAZCX6, DR-NTU (Data), V1

Generating high-quality 3D assets from a given image is highly desirable in various applications such as AR/VR. Recent advances in single-image 3D generation explore feed-forward models that learn to infer the 3D model of an object without optimization. Though promising results h...

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

Sep 26, 2024 - S-Lab for Advanced Intelligence

Tang, Jiaxiang; Chen, Zhaoxi; Chen, Xiaokang; Wang, Tengfei; Zeng, Gang; Liu, Ziwei, 2024, "LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation", https://doi.org/10.21979/N9/27JLJB, DR-NTU (Data), V1

3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Lar...

ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation

Sep 25, 2024 - S-Lab for Advanced Intelligence

Lan, Mengcheng; Chen, Chaofeng; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2024, "ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation", https://doi.org/10.21979/N9/YY8L5O, DR-NTU (Data), V1

Open-vocabulary semantic segmentation requires models to effectively integrate visual representations with open-vocabulary semantic labels. While Contrastive Language-Image Pre-training (CLIP) models shine in recognizing visual concepts from text, they often struggle with segment...

ProxyCLIP.pdf

Sep 25, 2024 - ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation

Adobe PDF - 3.5 MB -

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Sep 25, 2024 - S-Lab for Advanced Intelligence

Lan, Mengcheng; Chen, Chaofeng; Ke, Yiping; Wang, Xinjiang; Feng, Litong; Zhang, Wayne, 2024, "ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference", https://doi.org/10.21979/N9/S6NTDJ, DR-NTU (Data), V1

Despite the success of large-scale pretrained Vision-Language Models (VLMs) especially CLIP in various open-vocabulary tasks, their application to semantic segmentation remains challenging, producing noisy segmentation maps with mis-segmented regions. In this paper, we carefully...

ClearCLIP.pdf

Sep 25, 2024 - ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference

Adobe PDF - 4.7 MB -

Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively

Sep 25, 2024 - S-Lab for Advanced Intelligence

Yuan, Haobo; Li, Xiangtai; Zhou, Chong; Li, Yining; Chen, Kai; Loy, Chen Change, 2024, "Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively", https://doi.org/10.21979/N9/L05ULT, DR-NTU (Data), V1

The CLIP and Segment Anything Model (SAM) are remarkable vision foundation models (VFMs). SAM excels in segmentation tasks across diverse domains, whereas CLIP is renowned for its zero-shot recognition capabilities. This paper presents an in-depth exploration of integrating these...

OpenVoc_SAM.pdf

Sep 25, 2024 - Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively

Adobe PDF - 3.4 MB -

ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition

Sep 25, 2024 - S-Lab for Advanced Intelligence

Wu, Tianhao; Zheng, Chuanxia; Wu, Qianyi; Cham, Tat-Jen, 2024, "ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition", https://doi.org/10.21979/N9/RJUHMC, DR-NTU (Data), V1

3D decomposition/segmentation remains a challenge as large-scale 3D annotated data is not readily available. Existing approaches typically leverage 2D machine-generated segments, integrating them to achieve 3D consistency. In this paper, we propose ClusteringSDF, a novel approach...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications