Cover Image

FutureDepth: Learning to Predict the Future Improves Video Depth Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yasarla, Rajeev, Singh, Manish Kumar, Cai, Hong, Shi, Yunxiao, Jeong, Jisoo, Zhu, Yinhao, Han, Shizhong, Garrepalli, Risheek, Porikli, Fatih
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

MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
by: Yasarla, Rajeev, et al.
Published: (2023)

DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos
by: Yasarla, Rajeev, et al.
Published: (2025)

ODG: Occupancy Prediction Using Dual Gaussians
by: Shi, Yunxiao, et al.
Published: (2025)

BePo: Dual Representation for 3D Occupancy Prediction
by: Shi, Yunxiao, et al.
Published: (2025)

OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
by: Jeong, Jisoo, et al.
Published: (2024)

RoCA: Robust Cross-Domain End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2025)

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
by: Shi, Yunxiao, et al.
Published: (2024)

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties
by: Jeong, Jisoo, et al.
Published: (2025)

SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations
by: Lin, Jamie Menjay, et al.
Published: (2024)

Distilling Multi-modal Large Language Models for Autonomous Driving
by: Hegde, Deepti, et al.
Published: (2025)

ToSA: Token Selective Attention for Efficient Vision Transformers
by: Singh, Manish Kumar, et al.
Published: (2024)

Generative Scenario Rollouts for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning
by: Garrepalli, Risheek, et al.
Published: (2024)

MADI: Masking-Augmented Diffusion with Inference-Time Scaling for Visual Editing
by: Kadambi, Shreya, et al.
Published: (2025)

H3O: Hyper-Efficient 3D Occupancy Prediction with Heterogeneous Supervision
by: Shi, Yunxiao, et al.
Published: (2025)

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

Spiffy: Multiplying Diffusion LLM Acceleration via Lossless Speculative Decoding
by: Agrawal, Sudhanshu, et al.
Published: (2025)

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs
by: Goel, Raghavv, et al.
Published: (2026)

PADRe: A Unifying Polynomial Attention Drop-in Replacement for Efficient Vision Transformer
by: Letourneau, Pierre-David, et al.
Published: (2024)

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation
by: Mercier, Antoine, et al.
Published: (2024)

Clockwork Diffusion: Efficient Generation With Model-Step Distillation
by: Habibian, Amirhossein, et al.
Published: (2023)

CoReDiT: Spatial Coherence-Guided Token Pruning and Reconstruction for Efficient Diffusion Transformers
by: Li, Zhuojin, et al.
Published: (2026)

ConFu: Contemplate the Future for Better Speculative Sampling
by: Qin, Zongyue, et al.
Published: (2026)

Learning Optical Flow Field via Neural Ordinary Differential Equation
by: Mirvakhabova, Leyla, et al.
Published: (2025)

Do-Undo Bench: Reversibility for Action Understanding in Image Generation
by: Mahajan, Shweta, et al.
Published: (2025)

Neural Mesh Fusion: Unsupervised 3D Planar Surface Understanding
by: Zanjani, Farhad G., et al.
Published: (2024)

FALO: Fast and Accurate LiDAR 3D Object Detection on Resource-Constrained Devices
by: Han, Shizhong, et al.
Published: (2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
by: Borse, Shubhankar, et al.
Published: (2025)

FouRA: Fourier Low Rank Adaptation
by: Borse, Shubhankar, et al.
Published: (2024)

DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization
by: Roy, Aniket, et al.
Published: (2025)

Depth Prompting for Sensor-Agnostic Depth Estimation
by: Park, Jin-Hwi, et al.
Published: (2024)

ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth Estimation
by: Zhu, Ruijie, et al.
Published: (2024)

Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
by: Chen, Sili, et al.
Published: (2025)

Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation
by: Lee, Seungyeop, et al.
Published: (2024)

Masks Can Be Distracting: On Context Comprehension in Diffusion Language Models
by: Piskorz, Julianna, et al.
Published: (2025)

Amodal Depth Anything: Amodal Depth Estimation in the Wild
by: Li, Zhenyu, et al.
Published: (2024)

DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation
by: Dong, Yue-Jiang, et al.
Published: (2025)

NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation
by: Wang, Yiran, et al.
Published: (2023)

Depth Preservation and Close-Field Transfer in the Local Langlands Correspondence
by: Mishra, Manish
Published: (2025)

PTC-Depth: Pose-Refined Monocular Depth Estimation with Temporal Consistency
by: Han, Leezy, et al.
Published: (2026)