Com4d Inferring Compositional 4d Scenes Without Ever Seeing One Cvpr 2026

Description: We present

Project page:* https://eyeline-labs.github.io/Vista4D *Paper:* https://arxiv.org/abs/2604.21915 *Code:* ...

How much do video diffusion models know about the

An overview of our paper, "SketchDeco: Training-Free Latent

GOR-IS presents a 3D Gaussian object removal framework that edits

Short presentation of "No Hard Negatives Required: Concept Centric Learning Leads to Compositionality

Learning-based structure-from-motion methods such as ACE-Zero have demonstrated strong performance in estimating camera ...

Chengxing Lin, Jinhong Deng, Yinjie Lei, Wen Li. "Deformation-based In-Context Learning for Point Cloud Understanding.

CVPR 2026

Presentation for

CI-VID introduces a large-scale interleaved text-video dataset designed for coherent multi-clip video generation. Unlike existing ...

[CVPR 2026] Can You Learn to See Without Images? Procedural Warm-Up for Vision Transformers

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[CVPR 2026 Highlight] Dark3R: Learning Structure from Motion in the Dark

UniDAC: Universal Metric Depth Estimation for Any Camera (

Learning to infer parameterized representations of plants from 3D scans - CVPR 2026

Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

[CVPR 2026] R4 - Retrieval-Augmented Reasoning for Vision-Language Modelsin 4D Spatio-Temporal Space

CVPR 2026

[CVPR 2026] ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation