What Makes Fake Images Detectable? Understanding Properties that Generalize. - Lucy Chai; David Bau; Ser-Nam Lim; Phillip Isola (ECCV (26), 2020)

On the "steerability" of generative adversarial networks. - Ali Jahanian 002; Lucy Chai; Phillip Isola (ICLR, 2020)

Ensembling With Deep Generative Views. - Lucy Chai; Jun-Yan Zhu; Eli Shechtman; Phillip Isola; Richard Zhang 001 (CVPR, 2021)

Using latent space regression to analyze and leverage compositionality in GANs. - Lucy Chai; Jonas Wulff; Phillip Isola (ICLR, 2021)

Any-Resolution Training for High-Resolution Image Synthesis. - Lucy Chai; Michaël Gharbi; Eli Shechtman; Phillip Isola; Richard Zhang 001 (ECCV (16), 2022)

Totems: Physical Objects for Verifying Visual Integrity. - Jingwei Ma; Lucy Chai; Minyoung Huh; Tongzhou Wang 001; Ser-Nam Lim; Phillip Isola; Antonio Torralba 001 (ECCV (14), 2022)

Persistent Nature: A Generative Model of Unbounded 3D Worlds. - Lucy Chai; Richard Tucker 001; Zhengqi Li; Phillip Isola; Noah Snavely (CVPR, 2023)

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. - Stephanie Fu; Netanel Tamir; Shobhita Sundaram; Lucy Chai; Richard Zhang 001; Tali Dekel; Phillip Isola (NeurIPS, 2023)

Controlling Image Synthesis with Emergent and Designed Priors - Lucy Chai (2023)

When does perceptual alignment benefit vision representations? - Shobhita Sundaram; Stephanie Fu; Lukas Muttenthaler; Netanel Tamir; Lucy Chai; Simon Kornblith; Trevor Darrell; Phillip Isola (NeurIPS, 2024)

Quark: Real-time, High-resolution, and General Neural View Synthesis. - John Flynn; Michael Broxton; Lukas Murmann; Lucy Chai; Matthew DuVall; Clément Godard; Kathryn Heal; Srinivas Kaza; Stephen Lombardi; Xuan Luo; Supreeth Achar; Kira Prabhu; et al. (ACM Trans. Graph., 2024)

SplatVoxel: History-Aware Novel View Streaming without Temporal Training. - Yiming Wang; Lucy Chai; Xuan Luo; Michael Niemeyer; Manuel Lagunas; Stephen Lombardi; Siyu Tang; Tiancheng Sun (CoRR, 2025)