Imagen de Portada

RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ghosh, Partha, Sanyal, Soubhik, Schmid, Cordelia, Schölkopf, Bernhard
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
por: Sanyal, Soubhik, et al.
Publicado: (2023)

Time-, Memory- and Parameter-Efficient Visual Adaptation
por: Mercea, Otniel-Bogdan, et al.
Publicado: (2024)

Generation is Required for Data-Efficient Perception
por: Brady, Jack, et al.
Publicado: (2025)

Generative Zoo
por: Niewiadomski, Tomasz, et al.
Publicado: (2024)

CAViAR: Critic-Augmented Video Agentic Reasoning
por: Menon, Sachit, et al.
Publicado: (2025)

ViViDex: Learning Vision-based Dexterous Manipulation from Human Videos
por: Chen, Zerui, et al.
Publicado: (2024)

DataDream: Few-shot Guided Dataset Generation
por: Kim, Jae Myung, et al.
Publicado: (2024)

Hyperbolic Busemann Neural Networks
por: Chen, Ziheng, et al.
Publicado: (2026)

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
por: Min, Juhong, et al.
Publicado: (2024)

CaptionFormer: Unified Segmentation, Tracking, and Captioning for Spatio-Temporal Objects
por: Fiastre, Gabriel, et al.
Publicado: (2025)

A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning
por: Małkiński, Mikołaj, et al.
Publicado: (2024)

Grounded Video Caption Generation
por: Kazakos, Evangelos, et al.
Publicado: (2024)

Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding
por: Nagrani, Arsha, et al.
Publicado: (2026)

Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
por: Ma, Yintai, et al.
Publicado: (2024)

MINERVA: Evaluating Complex Video Reasoning
por: Nagrani, Arsha, et al.
Publicado: (2025)

Large-scale Pre-training for Grounded Video Caption Generation
por: Kazakos, Evangelos, et al.
Publicado: (2025)

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
por: Li, Xianhang, et al.
Publicado: (2025)

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories
por: Jang, Wonbong, et al.
Publicado: (2026)

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
por: Halmosi, Levente, et al.
Publicado: (2024)

Diffusion-Based Representation Learning
por: Mittal, Sarthak, et al.
Publicado: (2021)

Drifting Fields are not Conservative
por: Franz, Leonard T., et al.
Publicado: (2026)

RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
por: Biswas, Subrata, et al.
Publicado: (2025)

What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
por: Farid, Karim, et al.
Publicado: (2025)

Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs
por: Ventura, Lucas, et al.
Publicado: (2025)

Language-Guided Image Tokenization for Generation
por: Zha, Kaiwen, et al.
Publicado: (2024)

Verbalized Machine Learning: Revisiting Machine Learning with Language Models
por: Xiao, Tim Z., et al.
Publicado: (2024)

Structure by Architecture: Structured Representations without Regularization
por: Leeb, Felix, et al.
Publicado: (2020)

RECODE: Reasoning Through Code Generation for Visual Question Answering
por: Shen, Junhong, et al.
Publicado: (2025)

Visual Lexicon: Rich Image Features in Language Space
por: Wang, XuDong, et al.
Publicado: (2024)

GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs
por: Gao, Gege, et al.
Publicado: (2023)

Improving Generative Adversarial Networks with Self-Distillation
por: Nowinowski, Antoni, et al.
Publicado: (2026)

Ghost on the Shell: An Expressive Representation of General 3D Shapes
por: Liu, Zhen, et al.
Publicado: (2023)

A Cost-Efficient Approach for Creating Virtual Fitting Room using Generative Adversarial Networks (GANs)
por: Attallah, Kirolos, et al.
Publicado: (2024)

Virtual Fitting Room: Generating Arbitrarily Long Videos of Virtual Try-On from a Single Image -- Technical Preview
por: Chen, Jun-Kun, et al.
Publicado: (2025)

BrickNet: Graph-Backed Generative Brick Assembly
por: Kulits, Peter, et al.
Publicado: (2026)

Generative Adversarial Networks Bridging Art and Machine Intelligence
por: Song, Junhao, et al.
Publicado: (2025)

Nested Annealed Training Scheme for Generative Adversarial Networks
por: Wan, Chang, et al.
Publicado: (2025)

Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs
por: McNulty, John R., et al.
Publicado: (2024)

Synthetic Melanoma Image Generation and Evaluation Using Generative Adversarial Networks
por: Lin, Pei-Yu, et al.
Publicado: (2026)

Ego4OOD: Rethinking Egocentric Video Domain Generalization via Covariate Shift Scoring
por: Vaseqi, Zahra, et al.
Publicado: (2026)