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20242026
most citedE-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

KFC-W: Generating 3D-Consistent Videos from Unposed Internet Photos

Gene Chou, Kai Zhang, Sai Bi +5

We address the problem of generating videos from unposed internet photos. A handful of input images serve as keyframes, and our model interpolates between them to simulate a path m…

cs.CV20261 cited

E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training

Qitao Zhao, Hao Tan, Qianqian Wang +5

Self-supervised pre-training has driven rapid progress in foundation models for language, 2D images, and video, yet remains largely unexplored for learning 3D-aware representations…

cs.CV2026

tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction

Chen Wang, Hao Tan, Wang Yifan +6

We propose tttLRM, a novel large 3D reconstruction model that leverages a Test-Time Training (TTT) layer to enable long-context, autoregressive 3D reconstruction with linear comput…

cs.CV2026

AlignTok: Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models

Bowei Chen, Sai Bi, Hao Tan +6

In this work, we propose aligning pretrained visual encoders to serve as tokenizers for latent diffusion models in image generation. Unlike training a variational autoencoder (VAE)…

cs.CV2025

RELIC: Interactive Video World Model with Long-Horizon Memory

Yicong Hong, Yiqun Mei, Chongjian Ge +11

A truly interactive world model requires three key ingredients: real-time long-horizon streaming, consistent spatial memory, and precise user control. However, most existing approa…

cs.CV2025

Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats

Chen Ziwen, Hao Tan, Kai Zhang +5

We propose Long-LRM, a feed-forward 3D Gaussian reconstruction model for instant, high-resolution, 360° wide-coverage, scene-level reconstruction. Specifically, it takes in 32 inp…