1 citations · 1 across the 10 of their papers we have counts for
11 papers
GRVS: a Generalizable and Recurrent Approach to Monocular Dynamic View Synthesis
Thomas Tanay, Mohammed Brahimi, Michal Nazarczuk +5
Synthesizing novel views from monocular videos of dynamic scenes remains a challenging problem. Scene-specific methods that optimize 4D representations with explicit motion priors…
Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
Zheng Gao, Debin Meng, Yunqi Miao +4
Current diffusion-based makeup transfer methods commonly use the makeup information encoded by off-the-shelf foundation models (e.g., CLIP) as condition to preserve the makeup styl…
ICo3D: An Interactive Conversational 3D Virtual Human
Richard Shaw, Youngkyoon Jang, Athanasios Papaioannou +4
This work presents Interactive Conversational 3D Virtual Human (ICo3D), a method for generating an interactive, conversational, and photorealistic 3D human avatar. Based on multi-v…
Map2Thought: Explicit 3D Spatial Reasoning via Metric Cognitive Maps
Xiangjun Gao, Zhensong Zhang, Dave Zhenyu Chen +4
We propose Map2Thought, a framework that enables explicit and interpretable spatial reasoning for 3D VLMs. The framework is grounded in two key components: Metric Cognitive Map (Me…
Charge: A Comprehensive Novel View Synthesis Benchmark and Dataset to Bind Them All
Michal Nazarczuk, Thomas Tanay, Arthur Moreau +2
This paper presents a new dataset for Novel View Synthesis, generated from a high-quality, animated film with stunning realism and intricate detail. Our dataset captures a variety…
Off The Grid: Detection of Primitives for Feed-Forward 3D Gaussian Splatting
Arthur Moreau, Richard Shaw, Michal Nazarczuk +5
Feed-forward 3D Gaussian Splatting (3DGS) models enable real-time scene generation but are hindered by suboptimal pixel-aligned primitive placement, which relies on a dense, rigid…
CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
Jisu Shin, Richard Shaw, Seunghyun Shin +3
Modern camera pipelines apply extensive on-device processing, such as exposure adjustment, white balance, and color correction, which, while beneficial individually, often introduc…
ViDAR: Video Diffusion-Aware 4D Reconstruction From Monocular Inputs
Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +3
Dynamic Novel View Synthesis aims to generate photorealistic views of moving subjects from arbitrary viewpoints. This task is particularly challenging when relying on monocular vid…
GASPACHO: Gaussian Splatting for Controllable Humans and Objects
Aymen Mir, Arthur Moreau, Helisa Dhamo +3
We present GASPACHO, a method for generating photorealistic, controllable renderings of human-object interactions from multi-view RGB video. Unlike prior work that reconstructs onl…
SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control
Xiaohan Zhang, Sebastian Starke, Vladimir Guzov +3
Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fal…
SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark
HyunJun Jung, Weihang Li, Shun-Cheng Wu +8
Traditionally, 3d indoor datasets have generally prioritized scale over ground-truth accuracy in order to obtain improved generalization. However, using these datasets to evaluate…