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20222026
most citedKubric: A scalable dataset generator

5 citations · 5 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

ResEdit: Residual embeddings for precise generative image editing

Ahmet Canberk Baykal, Valentin Deschaintre, Yannick Hold-Geoffroy +4

Conditional diffusion image generators can be repurposed for editing through inversion, without the need for large-scale paired fine-tuning data. However, producing high-quality, t…

cs.CV2026

Matryoshka Gaussian Splatting

Zhilin Guo, Boqiao Zhang, Hakan Aktas +11

The ability to render scenes at adjustable fidelity from a single model, known as level of detail (LoD), is crucial for practical deployment of 3D Gaussian Splatting (3DGS). Existi…

cs.CV2026

PoseCraft: Tokenized 3D Body Landmark and Camera Conditioning for Photorealistic Human Image Synthesis

Zhilin Guo, Jing Yang, Kyle Fogarty +9

Digitizing humans and synthesizing photorealistic avatars with explicit 3D pose and camera controls are central to VR, telepresence, and entertainment. Existing skinning-based work…

cs.CV2025

Restereo: Diffusion stereo video generation and restoration

Xingchang Huang, Ashish Kumar Singh, Florian Dubost +6

Stereo video generation has been gaining increasing attention with recent advancements in video diffusion models. However, most existing methods focus on generating 3D stereoscopic…

cs.CV2025

RETRO: REthinking Tactile Representation Learning with Material PriOrs

Weihao Xia, Chenliang Zhou, Cengiz Oztireli

Tactile perception is profoundly influenced by the surface properties of objects in contact. However, despite their crucial role in shaping tactile experiences, these material char…

cs.CV2025

CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts

Chong Su, Yingbin Fu, Zheyuan Hu +6

We introduce CHOrD, a novel framework for scalable synthesis of 3D indoor scenes, designed to create house-scale, collision-free, and hierarchically structured indoor digital twins…