Cover Image

You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Baorui, Gao, Huachen, Deng, Haoge, Luo, Zhengxiong, Huang, Tiejun, Tang, Lulu, Wang, Xinlong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

See4D: Pose-Free 4D Generation via Auto-Regressive Video Inpainting
by: Lu, Dongyue, et al.
Published: (2025)

Autoregressive Video Generation without Vector Quantization
by: Deng, Haoge, et al.
Published: (2024)

The More You See in 2D, the More You Perceive in 3D
by: Han, Xinyang, et al.
Published: (2024)

CI-VID: A Coherent Interleaved Text-Video Dataset
by: Ju, Yiming, et al.
Published: (2025)

Emu3: Next-Token Prediction is All You Need
by: Wang, Xinlong, et al.
Published: (2024)

SVAC: Scaling Is All You Need For Referring Video Object Segmentation
by: Zhang, Li, et al.
Published: (2025)

Can You Trust What You See? Alpha Channel No-Box Attacks on Video Object Detection
by: Yi, Ariana, et al.
Published: (2025)

Now You See It, Now You Don't - Instant Concept Erasure for Safe Text-to-Image and Video Generation
by: Biswas, Shristi Das, et al.
Published: (2025)

Vision Language Models See What You Want but not What You See
by: Gao, Qingying, et al.
Published: (2024)

Edit as You See: Image-guided Video Editing via Masked Motion Modeling
by: Huang, Zhi-Lin, et al.
Published: (2025)

LensWalk: Agentic Video Understanding by Planning How You See in Videos
by: Li, Keliang, et al.
Published: (2026)

You Only Speak Once to See
by: Yang, Wenhao, et al.
Published: (2024)

Do You See What I Am Pointing At? Gesture-Based Egocentric Video Question Answering
by: Choi, Yura, et al.
Published: (2026)

YouTube-Occ: Learning Indoor 3D Semantic Occupancy Prediction from YouTube Videos
by: Chen, Haoming, et al.
Published: (2025)

Now You See Me, Now You Don't: A Unified Framework for Expression Consistent Anonymization in Talking Head Videos
by: Egin, Anil, et al.
Published: (2026)

What You See is What You Ask: Evaluating Audio Descriptions
by: Kala, Divy, et al.
Published: (2025)

What You See is What You Classify: Black Box Attributions
by: Stalder, Steven, et al.
Published: (2022)

Tell What You Hear From What You See -- Video to Audio Generation Through Text
by: Liu, Xiulong, et al.
Published: (2024)

LINA: Linear Autoregressive Image Generative Models with Continuous Tokens
by: Wang, Jiahao, et al.
Published: (2026)

What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs
by: Trevithick, Alex, et al.
Published: (2024)

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
by: De Nadai, Marco, et al.
Published: (2025)

Uniform Discrete Diffusion with Metric Path for Video Generation
by: Deng, Haoge, et al.
Published: (2025)

EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
by: Diao, Haiwen, et al.
Published: (2025)

See It Before You Grab It: Deep Learning-based Action Anticipation in Basketball
by: Roy, Arnau Barrera, et al.
Published: (2025)

Have You Got What It Takes...And Are You Using All You Could?
by: Dyer, Hilary
Published: (1994)

What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities
by: Bahng, Muchang, et al.
Published: (2025)

You've Got a Friend.
by: Politzer, Linda
Published: (1999)

You've Got a Friend
by: Woeste, Marianne
Published: (2008)

Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation
by: Shuai, Xincheng, et al.
Published: (2025)

Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos
by: Ma, Yue, et al.
Published: (2023)

Learning to See What You Need: Gaze Attention for Multimodal Large Language Models
by: Song, Junha, et al.
Published: (2026)

Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers
by: Shinnick, Zachary, et al.
Published: (2025)

Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models
by: Zhang, Jialiang, et al.
Published: (2026)

Generative Multimodal Models are In-Context Learners
by: Sun, Quan, et al.
Published: (2023)

Get In Video: Add Anything You Want to the Video
by: Zhuang, Shaobin, et al.
Published: (2025)

Alignment is All You Need: A Training-free Augmentation Strategy for Pose-guided Video Generation
by: Jin, Xiaoyu, et al.
Published: (2024)

Eye-See-You: Reverse Pass-Through VR and Head Avatars
by: Dash, Ankan, et al.
Published: (2025)

NowYouSee Me: Context-Aware Automatic Audio Description
by: Lee, Seon-Ho, et al.
Published: (2024)

$R^3$: 3D Reconstruction via Relative Regression
by: Xu, Congrong, et al.
Published: (2026)

Generating 360° Video is What You Need For a 3D Scene
by: Zhang, Zhaoyang, et al.
Published: (2025)