Copertina

Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Plattner, Maximilian, Paischer, Fabian, Brandstetter, Johannes, Berzins, Arturs
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Shape Generation via Weight Space Learning
di: Plattner, Maximilian, et al.
Pubblicazione: (2025)

Diverse Topology Optimization using Modulated Neural Fields
di: Radler, Andreas, et al.
Pubblicazione: (2025)

Geometry-Informed Neural Networks
di: Berzins, Arturs, et al.
Pubblicazione: (2024)

LmPT: Conditional Point Transformer for Anatomical Landmark Detection on 3D Point Clouds
di: Bastico, Matteo, et al.
Pubblicazione: (2026)

StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer
di: Shu, Zhenyu, et al.
Pubblicazione: (2025)

Linear Alignment of Vision-language Models for Image Captioning
di: Paischer, Fabian, et al.
Pubblicazione: (2023)

Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
di: Stone, Gunner, et al.
Pubblicazione: (2025)

Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images
di: Kim, Donghwan, et al.
Pubblicazione: (2024)

How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
di: Tran, Tuan Anh, et al.
Pubblicazione: (2025)

DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
di: Li, Yinghui, et al.
Pubblicazione: (2024)

Vision-LSTM: xLSTM as Generic Vision Backbone
di: Alkin, Benedikt, et al.
Pubblicazione: (2024)

Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation
di: Bastico, Matteo, et al.
Pubblicazione: (2025)

UOD: Unseen Object Detection in 3D Point Cloud
di: Choi, Hyunjun, et al.
Pubblicazione: (2024)

Point Cloud Synthesis Using Inner Product Transforms
di: Röell, Ernst, et al.
Pubblicazione: (2024)

Optimized CNNs for Rapid 3D Point Cloud Object Recognition
di: Lyu, Tianyi, et al.
Pubblicazione: (2024)

Pointy - A Lightweight Transformer for Point Cloud Foundation Models
di: Szafer, Konrad, et al.
Pubblicazione: (2026)

2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision
di: Yang, Cheng-Kun, et al.
Pubblicazione: (2023)

PointNSP: Autoregressive 3D Point Cloud Generation with Next-Scale Level-of-Detail Prediction
di: Meng, Ziqiao, et al.
Pubblicazione: (2025)

Skeleton-based Robust Registration Framework for Corrupted 3D Point Clouds
di: Wang, Yongqiang, et al.
Pubblicazione: (2025)

PQDT: Pseudo-Query Dual Transformer for Robust Point Cloud Restoration
di: Wu, Haoqing, et al.
Pubblicazione: (2026)

Deep Learning-based Point Cloud Registration for Augmented Reality-guided Surgery
di: Weber, Maximilian, et al.
Pubblicazione: (2024)

InJecteD: Analyzing Trajectories and Drift Dynamics in Denoising Diffusion Probabilistic Models for 2D Point Cloud Generation
di: Jain, Sanyam, et al.
Pubblicazione: (2025)

CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
di: Singha, Mainak, et al.
Pubblicazione: (2026)

Taming Transformers for Realistic Lidar Point Cloud Generation
di: Haghighi, Hamed, et al.
Pubblicazione: (2024)

Composite Convolution: a Flexible Operator for Deep Learning on 3D Point Clouds
di: Floris, Alberto, et al.
Pubblicazione: (2022)

GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D
di: Bahri, Ali, et al.
Pubblicazione: (2024)

PointBA: Towards Backdoor Attacks in 3D Point Cloud
di: Li, Xinke, et al.
Pubblicazione: (2021)

PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought
di: Chen, Chaoqi, et al.
Pubblicazione: (2026)

Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
di: Shin, Sangyun, et al.
Pubblicazione: (2023)

Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloud
di: Zhao, Hong, et al.
Pubblicazione: (2024)

Optimizing Sparse Convolution on GPUs with CUDA for 3D Point Cloud Processing in Embedded Systems
di: Luo, Chester, et al.
Pubblicazione: (2024)

Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint
di: Li, Yukun, et al.
Pubblicazione: (2024)

KeyPointDiffuser: Unsupervised 3D Keypoint Learning via Latent Diffusion Models
di: Newbury, Rhys, et al.
Pubblicazione: (2025)

Toward Availability Attacks in 3D Point Clouds
di: Zhu, Yifan, et al.
Pubblicazione: (2024)

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
di: Alkin, Benedikt, et al.
Pubblicazione: (2024)

SplAttN: Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion
di: Li, Zhaoyang, et al.
Pubblicazione: (2026)

Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
di: Santos, Jamie, et al.
Pubblicazione: (2023)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
di: Qu, Zhan, et al.
Pubblicazione: (2025)

Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell Segmentation
di: Yilmaz, Rüveyda, et al.
Pubblicazione: (2024)

Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds
di: Stone, Gunner, et al.
Pubblicazione: (2025)