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20222026
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17 papers · 1 filter

cs.CV2026

Plug-and-Play Traffic Element Awareness for End-to-End Autonomous Driving

Zongzheng Zhang, Jijun Wang, Saining Zhang +8

Traffic elements such as traffic lights and road signs play a fundamental role in human driving decisions and should naturally influence end-to-end driving performance. However, ex…

cs.CV2026

Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh

Junhao Chen, Mingjin Chen, Henghaofan Zhang +9

Pretrained video diffusion models can act as renderers when the desired scene state is already specified by an animated mesh, a camera trajectory, and a reference image. This 4D ge…

cs.CV2026

Bunraku: Turning a Single Illustration into an Editable Live2D Character

Junhao Chen, Jingjia Mao, Dayong Li +6

Live2D is the dominant 2D character-animation format for anime characters and virtual avatars, representing each character as a stack of RGBA layers driven by per-layer mesh deform…

cs.CV2026

Engine-Native Editable 3D World Reconstruction with Objects and Lighting

Junhao Chen, Xinghao Chen, Henghaofan Zhang +8

Editable 3D scene creation requires object instances and lights that can be inspected, moved, and imported into standard engines, yet existing single-image methods largely stop at…

cs.CV2026

One Video, One World: Turning Monocular Video into Physical 4D Scenes

Junhao Chen, Boran Zhang, Mingjin Chen +7

We introduce \textbf{OVOW}, the first training-free system that reconstructs \emph{instance-level, simulation-ready} 4D mesh scenes from a single monocular video. Recent 4D reconst…

cs.CV2026

Imagine Before You Draw: Visual Prompt Engineering for Image Generation

Liyu Jia, Fengda Zhang, Jiachun Pan +7

Incorporating visual semantic representations as an intermediate step before image generation can reduce the modeling difficulty between text and images, thereby improving generati…

cs.CV2026

Feedforward 3D Editing Learns from Semantic-Part Transformation

Jiawei Weng, Saining Zhang, Zhenxin Diao +4

3D editing is a fundamental capability for scalable 3D content creation. While image editing has rapidly evolved toward large-scale feedforward generative paradigms, 3D AI generati…

cs.CV2026

ArtHOI: Articulated Human-Object Interaction Synthesis by 4D Reconstruction from Video Priors

Zihao Huang, Tianqi Liu, Zhaoxi Chen +7

Synthesizing physically plausible articulated human-object interactions (HOI) without 3D/4D supervision remains a fundamental challenge. While recent zero-shot approaches leverage…

cs.CV2025

Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation

Shaocong Xu, Songlin Wei, Qizhe Wei +12

Transparent objects remain notoriously hard for perception systems: refraction, reflection and transmission break the assumptions behind stereo, ToF and purely discriminative monoc…

cs.CV2025

Light-X: Generative 4D Video Rendering with Camera and Illumination Control

Tianqi Liu, Zhaoxi Chen, Zihao Huang +8

Recent advances in illumination control extend image-based methods to video, yet still facing a trade-off between lighting fidelity and temporal consistency. Moving beyond relighti…

cs.CV2025

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation

Wei Chow, Jiachun Pan, Yongyuan Liang +10

Recent advances in unified multimodal models (UMMs) have enabled impressive progress in visual comprehension and generation. However, existing datasets and benchmarks focus primari…

cs.CV2025

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting

Baijun Ye, Minghui Qin, Saining Zhang +7

Occupancy is crucial for autonomous driving, providing essential geometric priors for perception and planning. However, existing methods predominantly rely on LiDAR-based occupancy…

cs.CV2025

GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objects

Licheng Shen, Saining Zhang, Honghan Li +4

Reconstructing articulated objects is essential for building digital twins of interactive environments. However, prior methods typically decouple geometry and motion by first recon…

cs.CV2025

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting

Haoran Xu, Saining Zhang, Peishuo Li +15

Vehicle-to-everything (V2X) communication plays a crucial role in autonomous driving, enabling cooperation between vehicles and infrastructure. While simulation has significantly c…

cs.CV2025

Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting

Nan Wang, Yuantao Chen, Lixing Xiao +11

Neural rendering techniques, including NeRF and Gaussian Splatting (GS), rely on photometric consistency to produce high-quality reconstructions. However, in real-world scenarios,…

cs.CV2025

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning

Bohan Wang, Zhongqi Yue, Fengda Zhang +15

We completely discard the conventional spatial prior in image representation and introduce a novel discrete visual tokenizer: Self-consistency Tokenizer (Selftok). At its design co…

cs.CV2024

Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty

Saining Zhang, Baijun Ye, Xiaoxue Chen +5

Robust and realistic rendering for large-scale road scenes is essential in autonomous driving simulation. Recently, 3D Gaussian Splatting (3D-GS) has made groundbreaking progress i…